diff --git "a/conala-test.jsonl" "b/conala-test.jsonl"
new file mode 100644--- /dev/null
+++ "b/conala-test.jsonl"
@@ -0,0 +1,543 @@
+{"nl": "divide the values with same keys of two dictionary `d1` and `d2`", "cmd": "{k: (float(d2[k]) / d1[k]) for k in d2}", "question_id": "11840111-96", "cmd_name": "conala", "oracle_man": ["python.library.functions#float"], "canonical_cmd": "{k: (float(VAR_STR[k]) / VAR_STR[k]) for k in VAR_STR}"}
+{"nl": "divide values associated with each key in dictionary `d1` from values associated with the same key in dictionary `d2`", "cmd": "dict((k, float(d2[k]) / d1[k]) for k in d2)", "question_id": "11840111-75", "cmd_name": "conala", "oracle_man": ["python.library.functions#float", "python.library.stdtypes#dict"], "canonical_cmd": "dict((k, float(VAR_STR[k]) / VAR_STR[k]) for k in VAR_STR)"}
+{"nl": "download \"http://randomsite.com/file.gz\" from http and save as \"file.gz\"", "cmd": "testfile = urllib.request.URLopener()\ntestfile.retrieve('http://randomsite.com/file.gz', 'file.gz')", "question_id": "19602931-64", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#urllib.request.URLopener", "python.library.urllib.request#urllib.request.URLopener.retrieve"], "canonical_cmd": "testfile = urllib.request.URLopener()\ntestfile.retrieve('VAR_STR', 'VAR_STR')"}
+{"nl": "download file from http url \"http://randomsite.com/file.gz\" and save as \"file.gz\"", "cmd": "urllib.request.urlretrieve('http://randomsite.com/file.gz', 'file.gz')", "question_id": "19602931-43", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#urllib.request.urlretrieve"], "canonical_cmd": "urllib.request.urlretrieve('VAR_STR', 'VAR_STR')"}
+{"nl": "filter a Django model `MyModel` to have charfield length of max `255`", "cmd": "MyModel.objects.extra(where=['CHAR_LENGTH(text) > 254'])", "question_id": "23351183-26", "cmd_name": "conala", "oracle_man": ["python.library.zipfile#zipfile.ZipInfo.extra"], "canonical_cmd": "VAR_STR.objects.extra(where=['CHAR_LENGTH(text) > 254'])"}
+{"nl": "get logical xor of `a` and `b`", "cmd": "((a and (not b)) or ((not a) and b))", "question_id": "432842-3", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR and not VAR_STR or not VAR_STR and VAR_STR"}
+{"nl": "get the date 1 month from today", "cmd": "(date(2010, 12, 31) + relativedelta(months=(+ 1)))", "question_id": "546321-12", "cmd_name": "conala", "oracle_man": ["matplotlib.dates_api#matplotlib.dates.relativedelta", "python.library.datetime#datetime.date"], "canonical_cmd": "date(2010, 12, 31) + relativedelta(months=+1)"}
+{"nl": "get the date 2 months from today", "cmd": "(date(2010, 12, 31) + relativedelta(months=(+ 2)))", "question_id": "546321-62", "cmd_name": "conala", "oracle_man": ["matplotlib.dates_api#matplotlib.dates.relativedelta", "python.library.datetime#datetime.date"], "canonical_cmd": "date(2010, 12, 31) + relativedelta(months=+2)"}
+{"nl": "call a Python script \"test1.py\"", "cmd": "subprocess.call('test1.py', shell=True)", "question_id": "1186789-34", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.call"], "canonical_cmd": "subprocess.call('VAR_STR', shell=True)"}
+{"nl": "check if object `obj` has attribute 'attr_name'", "cmd": "hasattr(obj, 'attr_name')", "question_id": "843277-70", "cmd_name": "conala", "oracle_man": ["python.library.functions#hasattr"], "canonical_cmd": "hasattr(VAR_STR, 'VAR_STR')"}
+{"nl": "slice list `[1, 2, 3, 4, 5, 6, 7]` into lists of two elements each", "cmd": "list(grouper(2, [1, 2, 3, 4, 5, 6, 7]))", "question_id": "2231663-53", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "pandas.reference.api.pandas.grouper"], "canonical_cmd": "list(grouper(2, [VAR_STR]))"}
+{"nl": "Slicing a list into a list of sub-lists", "cmd": "[input[i:i + n] for i in range(0, len(input), n)]", "question_id": "2231663-54", "cmd_name": "conala", "oracle_man": ["python.library.functions#len", "python.library.functions#range"], "canonical_cmd": "[input[i:i + n] for i in range(0, len(input), n)]"}
+{"nl": "fetch smilies matching regex pattern '(?::|;|=)(?:-)?(?:\\\\)|\\\\(|D|P)' in string `s`", "cmd": "re.findall('(?::|;|=)(?:-)?(?:\\\\)|\\\\(|D|P)', s)", "question_id": "14571103-73", "cmd_name": "conala", "oracle_man": ["python.library.re#re.findall"], "canonical_cmd": "re.findall('VAR_STR', VAR_STR)"}
+{"nl": "Get data of dataframe `df` where the sum of column 'X' grouped by column 'User' is equal to 0", "cmd": "df.loc[df.groupby('User')['X'].transform(sum) == 0]", "question_id": "27868020-14", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.loc", "pandas.reference.api.pandas.dataframe.groupby", "pandas.reference.api.pandas.dataframe.transform"], "canonical_cmd": "VAR_STR.loc[VAR_STR.groupby('VAR_STR')['VAR_STR'].transform(sum) == 0]"}
+{"nl": "Get data from dataframe `df` where column 'X' is equal to 0", "cmd": "df.groupby('User')['X'].transform(sum) == 0", "question_id": "27868020-52", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.groupby", "pandas.reference.api.pandas.dataframe.transform"], "canonical_cmd": "VAR_STR.groupby('User')['VAR_STR'].transform(sum) == 0"}
+{"nl": "webbrowser open url 'http://example.com'", "cmd": "webbrowser.open('http://example.com')", "question_id": "4302027-39", "cmd_name": "conala", "oracle_man": ["python.library.webbrowser#webbrowser.open"], "canonical_cmd": "webbrowser.open('VAR_STR')"}
+{"nl": "Access environment variable \"HOME\"", "cmd": "os.environ['HOME']", "question_id": "4906977-61", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "os.environ['VAR_STR']"}
+{"nl": "get value of environment variable \"HOME\"", "cmd": "os.environ['HOME']", "question_id": "4906977-33", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "os.environ['VAR_STR']"}
+{"nl": "print all environment variables", "cmd": "print(os.environ)", "question_id": "4906977-98", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "print(os.environ)"}
+{"nl": "get all environment variables", "cmd": "os.environ", "question_id": "4906977-9", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "os.environ"}
+{"nl": "get value of the environment variable 'KEY_THAT_MIGHT_EXIST' with default value `default_value`", "cmd": "print(os.getenv('KEY_THAT_MIGHT_EXIST', default_value))", "question_id": "4906977-77", "cmd_name": "conala", "oracle_man": ["python.library.os#os.getenv"], "canonical_cmd": "print(os.getenv('VAR_STR', VAR_STR))"}
+{"nl": "sort dictionary `dictionary` in ascending order by its values", "cmd": "sorted(list(dictionary.items()), key=operator.itemgetter(1))", "question_id": "674509-17", "cmd_name": "conala", "oracle_man": ["python.library.operator#operator.itemgetter", "python.library.functions#sorted", "python.library.functions#list", "python.library.stdtypes#dict.items"], "canonical_cmd": "sorted(list(VAR_STR.items()), key=operator.itemgetter(1))"}
+{"nl": "iterate over a python dictionary, ordered by values", "cmd": "sorted(list(dictionary.items()), key=lambda x: x[1])", "question_id": "674509-45", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.functions#list", "python.library.stdtypes#dict.items"], "canonical_cmd": "sorted(list(dictionary.items()), key=lambda x: x[1])"}
+{"nl": "pandas split strings in column 'stats' by ',' into columns in dataframe `df`", "cmd": "df['stats'].str[1:-1].str.split(',', expand=True).astype(float)", "question_id": "29370211-80", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.split"], "canonical_cmd": "VAR_STR['VAR_STR'].str[1:-1].str.split('VAR_STR', expand=True).astype(float)"}
+{"nl": "split string in column 'stats' by ',' into separate columns in dataframe `df`", "cmd": "df['stats'].str[1:-1].str.split(',').apply(pd.Series).astype(float)", "question_id": "29370211-55", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.split", "pandas.reference.api.pandas.series.astype", "pandas.reference.api.pandas.series.apply"], "canonical_cmd": "VAR_STR['VAR_STR'].str[1:-1].str.split('VAR_STR').apply(pd.Series).astype(float)"}
+{"nl": "Remove characters \"!@#$\" from a string `line`", "cmd": "line.translate(None, '!@#$')", "question_id": "3939361-35", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.translate"], "canonical_cmd": "VAR_STR.translate(None, 'VAR_STR')"}
+{"nl": "Remove characters \"!@#$\" from a string `line`", "cmd": "line = re.sub('[!@#$]', '', line)", "question_id": "3939361-33", "cmd_name": "conala", "oracle_man": ["python.library.re#re.sub"], "canonical_cmd": "VAR_STR = re.sub('[!@#$]', '', VAR_STR)"}
+{"nl": "Remove string \"1\" from string `string`", "cmd": "string.replace('1', '')", "question_id": "3939361-18", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.replace"], "canonical_cmd": "VAR_STR.replace('VAR_STR', '')"}
+{"nl": "Remove characters in '!@#$' from a string `line`", "cmd": "line = line.translate(string.maketrans('', ''), '!@#$')", "question_id": "3939361-89", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.maketrans", "python.library.stdtypes#str.translate"], "canonical_cmd": "VAR_STR = VAR_STR.translate(string.maketrans('', ''), 'VAR_STR')"}
+{"nl": "subtract 1 hour and 10 minutes from time object `t`", "cmd": "(t - datetime.timedelta(hours=1, minutes=10))", "question_id": "14043934-80", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.timedelta"], "canonical_cmd": "VAR_STR - datetime.timedelta(hours=1, minutes=10)"}
+{"nl": "subtract 5 hours from the time object `dt`", "cmd": "dt -= datetime.timedelta(hours=5)", "question_id": "14043934-42", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.timedelta"], "canonical_cmd": "VAR_STR -= datetime.timedelta(hours=5)"}
+{"nl": "generate a 12-digit random number", "cmd": "random.randint(100000000000, 999999999999)", "question_id": "13496087-84", "cmd_name": "conala", "oracle_man": ["python.library.random#random.randint"], "canonical_cmd": "random.randint(100000000000, 999999999999)"}
+{"nl": "generate a 12-digit random number", "cmd": "'%0.12d' % random.randint(0, 999999999999)", "question_id": "13496087-95", "cmd_name": "conala", "oracle_man": ["python.library.random#random.randint"], "canonical_cmd": "'%0.12d' % random.randint(0, 999999999999)"}
+{"nl": "Parsing webpage 'http://www.google.com/' using BeautifulSoup", "cmd": "page = urllib.request.urlopen('http://www.google.com/')\nsoup = BeautifulSoup(page)", "question_id": "11709079-81", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#urllib.request.urlopen"], "canonical_cmd": "page = urllib.request.urlopen('VAR_STR')\nsoup = BeautifulSoup(page)"}
+{"nl": "make a window `root` jump to the front", "cmd": "root.lift()", "question_id": "1892339-46", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR.lift()"}
+{"nl": "print number `value` as thousands separators", "cmd": "'{:,}'.format(value)", "question_id": "1823058-26", "cmd_name": "conala", "oracle_man": ["python.library.functions#format"], "canonical_cmd": "\"\"\"{:,}\"\"\".format(VAR_STR)"}
+{"nl": "move an x-axis label to the top of a plot `ax` in matplotlib", "cmd": "ax.xaxis.set_label_position('top')", "question_id": "14406214-5", "cmd_name": "conala", "oracle_man": ["matplotlib._as_gen.matplotlib.axis.xaxis.set_label_position"], "canonical_cmd": "VAR_STR.xaxis.set_label_position('top')"}
+{"nl": "move x-axis to the top of a plot `ax`", "cmd": "ax.xaxis.tick_top()", "question_id": "14406214-43", "cmd_name": "conala", "oracle_man": ["matplotlib._as_gen.matplotlib.axis.xaxis.tick_top"], "canonical_cmd": "VAR_STR.xaxis.tick_top()"}
+{"nl": "check if array `b` contains all elements of array `a`", "cmd": "numpy.in1d(b, a).all()", "question_id": "10565598-66", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.in1d", "python.library.functions#all"], "canonical_cmd": "numpy.in1d(VAR_STR, VAR_STR).all()"}
+{"nl": "convert decimal 8 to a list of its binary values", "cmd": "list('{0:0b}'.format(8))", "question_id": "13557937-8", "cmd_name": "conala", "oracle_man": ["python.library.functions#format", "python.library.functions#list"], "canonical_cmd": "list('{0:0b}'.format(8))"}
+{"nl": "convert decimal integer 8 to a list of its binary values as elements", "cmd": "[int(x) for x in list('{0:0b}'.format(8))]", "question_id": "13557937-9", "cmd_name": "conala", "oracle_man": ["python.library.functions#int", "python.library.functions#format", "python.library.functions#list"], "canonical_cmd": "[int(x) for x in list('{0:0b}'.format(8))]"}
+{"nl": "print current date and time in a regular format", "cmd": "time.strftime('%Y-%m-%d %H:%M')", "question_id": "311627-76", "cmd_name": "conala", "oracle_man": ["python.library.time#time.strftime"], "canonical_cmd": "time.strftime('%Y-%m-%d %H:%M')"}
+{"nl": "reverse a list `L`", "cmd": "L[::(-1)]", "question_id": "3940128-52", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR[::-1]"}
+{"nl": "reverse a list `L`", "cmd": "L.reverse()", "question_id": "3940128-21", "cmd_name": "conala", "oracle_man": ["python.library.audioop#audioop.reverse"], "canonical_cmd": "VAR_STR.reverse()"}
+{"nl": "Calling an external command \"ls -l\"", "cmd": "from subprocess import call", "question_id": "89228-90", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "from subprocess import call"}
+{"nl": "Calling an external command \"some_command with args\"", "cmd": "os.system('some_command with args')", "question_id": "89228-91", "cmd_name": "conala", "oracle_man": ["python.library.os#os.system"], "canonical_cmd": "os.system('VAR_STR')"}
+{"nl": "Calling an external command \"some_command < input_file | another_command > output_file\"", "cmd": "os.system('some_command < input_file | another_command > output_file')", "question_id": "89228-25", "cmd_name": "conala", "oracle_man": ["python.library.os#os.system"], "canonical_cmd": "os.system('VAR_STR')"}
+{"nl": "Calling an external command \"some_command with args\"", "cmd": "stream = os.popen('some_command with args')", "question_id": "89228-76", "cmd_name": "conala", "oracle_man": ["python.library.os#os.popen"], "canonical_cmd": "stream = os.popen('VAR_STR')"}
+{"nl": "Calling an external command \"echo Hello World\"", "cmd": "return_code = subprocess.call('echo Hello World', shell=True)", "question_id": "89228-97", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.call"], "canonical_cmd": "return_code = subprocess.call('VAR_STR', shell=True)"}
+{"nl": "Calling an external command \"ls -l\"", "cmd": "call(['ls', '-l'])", "question_id": "89228-44", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.call"], "canonical_cmd": "call(['ls', '-l'])"}
+{"nl": "find the current directory", "cmd": "os.path.realpath(__file__)", "question_id": "5137497-23", "cmd_name": "conala", "oracle_man": ["python.library.os.path#os.path.realpath"], "canonical_cmd": "os.path.realpath(__file__)"}
+{"nl": "get the directory name of `path`", "cmd": "os.path.dirname(path)", "question_id": "5137497-33", "cmd_name": "conala", "oracle_man": ["python.library.os.path#os.path.dirname"], "canonical_cmd": "os.VAR_STR.dirname(VAR_STR)"}
+{"nl": "get the canonical path of file `path`", "cmd": "os.path.realpath(path)", "question_id": "5137497-66", "cmd_name": "conala", "oracle_man": ["python.library.os.path#os.path.realpath"], "canonical_cmd": "os.VAR_STR.realpath(VAR_STR)"}
+{"nl": "Find name of current directory", "cmd": "dir_path = os.path.dirname(os.path.realpath(__file__))", "question_id": "5137497-91", "cmd_name": "conala", "oracle_man": ["python.library.os.path#os.path.dirname", "python.library.os.path#os.path.realpath"], "canonical_cmd": "dir_path = os.path.dirname(os.path.realpath(__file__))"}
+{"nl": "Find the full path of current directory", "cmd": "full_path = os.path.realpath(__file__)", "question_id": "5137497-76", "cmd_name": "conala", "oracle_man": ["python.library.os.path#os.path.realpath"], "canonical_cmd": "full_path = os.path.realpath(__file__)"}
+{"nl": "unpack hexadecimal string `s` to a list of integer values", "cmd": "struct.unpack('11B', s)", "question_id": "14961562-66", "cmd_name": "conala", "oracle_man": ["python.library.struct#struct.unpack"], "canonical_cmd": "struct.unpack('11B', VAR_STR)"}
+{"nl": "convert column of date objects 'DateObj' in pandas dataframe `df` to strings in new column 'DateStr'", "cmd": "df['DateStr'] = df['DateObj'].dt.strftime('%d%m%Y')", "question_id": "19738169-65", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.series.dt.strftime"], "canonical_cmd": "VAR_STR['VAR_STR'] = VAR_STR['VAR_STR'].dt.strftime('%d%m%Y')"}
+{"nl": "generate all permutations of list `[1, 2, 3]` and list `[4, 5, 6]`", "cmd": "print(list(itertools.product([1, 2, 3], [4, 5, 6])))", "question_id": "104420-82", "cmd_name": "conala", "oracle_man": ["python.library.itertools#itertools.product", "python.library.functions#list"], "canonical_cmd": "print(list(itertools.product([VAR_STR], [VAR_STR])))"}
+{"nl": "generate all permutations of a list `[1, 2, 3]`", "cmd": "itertools.permutations([1, 2, 3])", "question_id": "104420-100", "cmd_name": "conala", "oracle_man": ["python.library.itertools#itertools.permutations"], "canonical_cmd": "itertools.permutations([VAR_STR])"}
+{"nl": "Exclude column names when writing dataframe `df` to a csv file `filename.csv`", "cmd": "df.to_csv('filename.csv', header=False)", "question_id": "19781609-19", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.to_csv"], "canonical_cmd": "VAR_STR.to_csv('VAR_STR', header=False)"}
+{"nl": "How do I get rid of Python Tkinter root window?", "cmd": "root.destroy()", "question_id": "1406145-57", "cmd_name": "conala", "oracle_man": ["matplotlib.backend_tools_api#matplotlib.backend_tools.ToolBase.destroy"], "canonical_cmd": "root.destroy()"}
+{"nl": "create a list `files` containing all files in directory '.' that starts with numbers between 0 and 9 and ends with the extension '.jpg'", "cmd": "files = [f for f in os.listdir('.') if re.match('[0-9]+.*\\\\.jpg', f)]", "question_id": "2225564-15", "cmd_name": "conala", "oracle_man": ["python.library.os#os.listdir", "python.library.re#re.match"], "canonical_cmd": "VAR_STR = [f for f in os.listdir('VAR_STR') if re.match('[0-9]+.*\\\\.jpg', f)]"}
+{"nl": "convert dataframe `df` into a pivot table using column 'order' as index and values of column 'sample' as columns", "cmd": "df.pivot(index='order', columns='sample')", "question_id": "30406725-90", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.pivot"], "canonical_cmd": "VAR_STR.pivot(index='VAR_STR', columns='VAR_STR')"}
+{"nl": "python pickle/unpickle a list to/from a file 'afile'", "cmd": "pickle.load(open('afile', 'rb'))", "question_id": "18229082-25", "cmd_name": "conala", "oracle_man": ["python.library.pickle#pickle.load", "python.library.urllib.request#open"], "canonical_cmd": "pickle.load(open('VAR_STR', 'rb'))"}
+{"nl": "Extract first two substrings in string `phrase` that end in `.`, `?` or `!`", "cmd": "re.match('(.*?[.?!](?:\\\\s+.*?[.?!]){0,1})', phrase).group(1)", "question_id": "3329386-17", "cmd_name": "conala", "oracle_man": ["python.library.re#re.match", "python.library.re#re.Match.group"], "canonical_cmd": "re.match('(.*?[.?!](?:\\\\s+.*?[.?!]){0,1})', VAR_STR).group(1)"}
+{"nl": "how to write a unicode csv in Python 2.7", "cmd": "self.writer.writerow([str(s).encode('utf-8') for s in row])", "question_id": "22733642-1", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str", "python.library.stdtypes#str.encode", "python.library.csv#csv.csvwriter.writerow"], "canonical_cmd": "self.writer.writerow([str(s).encode('utf-8') for s in row])"}
+{"nl": "calculat the difference between each row and the row previous to it in dataframe `data`", "cmd": "data.set_index('Date').diff()", "question_id": "13114512-57", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.diff", "pandas.reference.api.pandas.dataframe.set_index"], "canonical_cmd": "VAR_STR.set_index('Date').diff()"}
+{"nl": "get index of elements in array `A` that occur in another array `B`", "cmd": "np.where(np.in1d(A, B))[0]", "question_id": "28901311-21", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.in1d", "numpy.reference.generated.numpy.where"], "canonical_cmd": "np.where(np.in1d(VAR_STR, VAR_STR))[0]"}
+{"nl": "query all data from table `Task` where the value of column `time_spent` is bigger than 3 hours", "cmd": "session.query(Task).filter(Task.time_spent > timedelta(hours=3)).all()", "question_id": "18102109-63", "cmd_name": "conala", "oracle_man": ["python.library.functions#all", "python.library.functions#filter", "pandas.reference.api.pandas.timedelta"], "canonical_cmd": "session.query(VAR_STR).filter(VAR_STR.VAR_STR > timedelta(hours=3)).all()"}
+{"nl": "get current date and time", "cmd": "datetime.datetime.now()", "question_id": "415511-22", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now"], "canonical_cmd": "datetime.datetime.now()"}
+{"nl": "get current time", "cmd": "datetime.datetime.now().time()", "question_id": "415511-29", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now", "python.library.datetime#datetime.datetime.time"], "canonical_cmd": "datetime.datetime.now().time()"}
+{"nl": "get current time in pretty format", "cmd": "strftime('%Y-%m-%d %H:%M:%S', gmtime())", "question_id": "415511-26", "cmd_name": "conala", "oracle_man": ["python.library.time#time.gmtime", "python.library.time#time.strftime"], "canonical_cmd": "strftime('%Y-%m-%d %H:%M:%S', gmtime())"}
+{"nl": "get current time in string format", "cmd": "str(datetime.now())", "question_id": "415511-14", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str", "python.library.datetime#datetime.datetime.now"], "canonical_cmd": "str(datetime.now())"}
+{"nl": "get current time", "cmd": "datetime.datetime.time(datetime.datetime.now())", "question_id": "415511-33", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now", "python.library.datetime#datetime.datetime.time"], "canonical_cmd": "datetime.datetime.time(datetime.datetime.now())"}
+{"nl": "adding a 1-d array `[1, 2, 3, 4, 5, 6, 7, 8, 9]` to a 3-d array `np.zeros((6, 9, 20))`", "cmd": "np.zeros((6, 9, 20)) + np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])[(None), :, (None)]", "question_id": "32283692-10", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.zeros", "numpy.reference.generated.numpy.array"], "canonical_cmd": "np.zeros((6, 9, 20)) + np.array([VAR_STR])[(None), :, (None)]"}
+{"nl": "add array of shape `(6, 9, 20)` to array `[1, 2, 3, 4, 5, 6, 7, 8, 9]`", "cmd": "np.zeros((6, 9, 20)) + np.array([1, 2, 3, 4, 5, 6, 7, 8, 9]).reshape((1, 9, 1))", "question_id": "32283692-46", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.zeros", "numpy.reference.generated.numpy.array", "numpy.reference.generated.numpy.reshape"], "canonical_cmd": "np.zeros((VAR_STR)) + np.array([VAR_STR]).reshape((1, 9, 1))"}
+{"nl": "extract first and last row of a dataframe `df`", "cmd": "pd.concat([df.head(1), df.tail(1)])", "question_id": "36542169-84", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.tail", "pandas.reference.api.pandas.dataframe.head", "pandas.reference.api.pandas.concat"], "canonical_cmd": "pd.concat([VAR_STR.head(1), VAR_STR.tail(1)])"}
+{"nl": "convert date string '24052010' to date object in format '%d%m%Y'", "cmd": "datetime.datetime.strptime('24052010', '%d%m%Y').date()", "question_id": "2803852-74", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.strptime", "python.library.datetime#datetime.datetime.date"], "canonical_cmd": "datetime.datetime.strptime('VAR_STR', 'VAR_STR').date()"}
+{"nl": "calculate the mean of the nonzero values' indices of dataframe `df`", "cmd": "np.flatnonzero(x).mean()", "question_id": "39719140-55", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.flatnonzero", "numpy.reference.generated.numpy.mean"], "canonical_cmd": "np.flatnonzero(x).mean()"}
+{"nl": "Get index of numpy array `a` with another numpy array `b`", "cmd": "a[tuple(b)]", "question_id": "5508352-50", "cmd_name": "conala", "oracle_man": ["python.library.functions#tuple"], "canonical_cmd": "VAR_STR[tuple(VAR_STR)]"}
+{"nl": "input an integer tuple from user", "cmd": "tuple(map(int, input().split(',')))", "question_id": "2233917-10", "cmd_name": "conala", "oracle_man": ["python.library.functions#tuple", "python.library.functions#input", "python.library.functions#map"], "canonical_cmd": "tuple(map(int, input().split(',')))"}
+{"nl": "input a tuple of integers from user", "cmd": "tuple(int(x.strip()) for x in input().split(','))", "question_id": "2233917-8", "cmd_name": "conala", "oracle_man": ["python.library.functions#tuple", "python.library.functions#input", "python.library.functions#int", "python.library.stdtypes#str.strip"], "canonical_cmd": "tuple(int(x.strip()) for x in input().split(','))"}
+{"nl": "rotate x-axis text labels of plot `ax` 45 degrees", "cmd": "ax.set_xticklabels(ax.xaxis.get_majorticklabels(), rotation=45)", "question_id": "10998621-33", "cmd_name": "conala", "oracle_man": ["matplotlib._as_gen.matplotlib.axis.axis.get_majorticklabels", "matplotlib._as_gen.matplotlib.axes.axes.set_xticklabels"], "canonical_cmd": "VAR_STR.set_xticklabels(VAR_STR.xaxis.get_majorticklabels(), rotation=45)"}
+{"nl": "sum the 3 largest integers in groupby by 'STNAME' and 'COUNTY_POP'", "cmd": "df.groupby('STNAME')['COUNTY_POP'].agg(lambda x: x.nlargest(3).sum())", "question_id": "40517350-9", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.groupby", "python.library.functions#sum", "pandas.reference.api.pandas.dataframe.agg", "pandas.reference.api.pandas.dataframe.nlargest"], "canonical_cmd": "df.groupby('VAR_STR')['VAR_STR'].agg(lambda x: x.nlargest(3).sum())"}
+{"nl": "transform time series `df` into a pivot table aggregated by column 'Close' using column `df.index.date` as index and values of column `df.index.time` as columns", "cmd": "pd.pivot_table(df, index=df.index.date, columns=df.index.time, values='Close')", "question_id": "28664103-14", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.pivot_table"], "canonical_cmd": "pd.pivot_table(VAR_STR, index=VAR_STR.index.date, columns=VAR_STR.index.time,\n    values='VAR_STR')"}
+{"nl": "Create array `a` containing integers from stdin", "cmd": "a.fromlist([int(val) for val in stdin.read().split()])", "question_id": "8192379-98", "cmd_name": "conala", "oracle_man": ["python.library.functions#int", "python.library.array#array.array.fromlist", "python.library.os#os.read", "python.library.stdtypes#str.split"], "canonical_cmd": "VAR_STR.fromlist([int(val) for val in stdin.read().split()])"}
+{"nl": "reverse list `yourdata`", "cmd": "sorted(yourdata, reverse=True)", "question_id": "13237941-54", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted"], "canonical_cmd": "sorted(VAR_STR, reverse=True)"}
+{"nl": "sort list of nested dictionaries `yourdata` in reverse based on values associated with each dictionary's key 'subkey'", "cmd": "sorted(yourdata, key=lambda d: d.get('key', {}).get('subkey'), reverse=True)", "question_id": "13237941-56", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.stdtypes#dict.get"], "canonical_cmd": "sorted(VAR_STR, key=lambda d: d.get('key', {}).get('subkey'), reverse=True)"}
+{"nl": "sort list of nested dictionaries `yourdata` in reverse order of 'key' and 'subkey'", "cmd": "yourdata.sort(key=lambda e: e['key']['subkey'], reverse=True)", "question_id": "13237941-14", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#list.sort"], "canonical_cmd": "VAR_STR.sort(VAR_STR=lambda e: e['VAR_STR']['VAR_STR'], reverse=True)"}
+{"nl": "Draw node labels `labels` on networkx graph `G ` at position `pos`", "cmd": "networkx.draw_networkx_labels(G, pos, labels)", "question_id": "15548506-61", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "networkx.draw_networkx_labels(VAR_STR, VAR_STR, VAR_STR)"}
+{"nl": "get the common prefix from comparing two absolute paths '/usr/var' and '/usr/var2/log'", "cmd": "os.path.commonprefix(['/usr/var', '/usr/var2/log'])", "question_id": "7287996-89", "cmd_name": "conala", "oracle_man": ["python.library.os.path#os.path.commonprefix"], "canonical_cmd": "os.path.commonprefix(['VAR_STR', 'VAR_STR'])"}
+{"nl": "get relative path of path '/usr/var' regarding path '/usr/var/log/'", "cmd": "print(os.path.relpath('/usr/var/log/', '/usr/var'))", "question_id": "7287996-17", "cmd_name": "conala", "oracle_man": ["python.library.os.path#os.path.relpath"], "canonical_cmd": "print(os.path.relpath('VAR_STR', 'VAR_STR'))"}
+{"nl": "Evaluate a nested dictionary `myobject.id.number` to get `number` if `myobject` is present with getattr", "cmd": "getattr(getattr(myobject, 'id', None), 'number', None)", "question_id": "14925239-71", "cmd_name": "conala", "oracle_man": ["python.library.functions#getattr"], "canonical_cmd": "getattr(getattr(VAR_STR, 'id', None), 'VAR_STR', None)"}
+{"nl": "outer product of each column of a 2d `X` array to form a 3d array `X`", "cmd": "np.einsum('ij,kj->jik', X, X)", "question_id": "41469647-32", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.einsum"], "canonical_cmd": "np.einsum('ij,kj->jik', VAR_STR, VAR_STR)"}
+{"nl": "create a list containing a four elements long tuples of permutations of binary values", "cmd": "itertools.product(list(range(2)), repeat=4)", "question_id": "32292554-35", "cmd_name": "conala", "oracle_man": ["python.library.itertools#itertools.product", "python.library.functions#range", "python.library.functions#list"], "canonical_cmd": "itertools.product(list(range(2)), repeat=4)"}
+{"nl": "match regex pattern '\\\\$[0-9]+[^\\\\$]*$' on string '$1 off delicious $5 ham.'", "cmd": "re.match('\\\\$[0-9]+[^\\\\$]*$', '$1 off delicious $5 ham.')", "question_id": "3166619-87", "cmd_name": "conala", "oracle_man": ["python.library.re#re.match"], "canonical_cmd": "re.match('VAR_STR', 'VAR_STR')"}
+{"nl": "generate 6 random numbers between 1 and 50", "cmd": "random.sample(range(1, 50), 6)", "question_id": "13628725-82", "cmd_name": "conala", "oracle_man": ["python.library.random#random.sample", "python.library.functions#range"], "canonical_cmd": "random.sample(range(1, 50), 6)"}
+{"nl": "generate six unique random numbers in the range of 1 to 49.", "cmd": "random.sample(range(1, 50), 6)", "question_id": "13628725-59", "cmd_name": "conala", "oracle_man": ["python.library.random#random.sample", "python.library.functions#range"], "canonical_cmd": "random.sample(range(1, 50), 6)"}
+{"nl": "get current utc time", "cmd": "datetime.utcnow()", "question_id": "15940280-74", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.utcnow"], "canonical_cmd": "datetime.utcnow()"}
+{"nl": "Change the current directory one level up", "cmd": "os.chdir('..')", "question_id": "12280143-55", "cmd_name": "conala", "oracle_man": ["python.library.os#os.chdir"], "canonical_cmd": "os.chdir('..')"}
+{"nl": "set the font 'Purisa' of size 12 for a canvas' text item `k`", "cmd": "canvas.create_text(x, y, font=('Purisa', 12), text=k)", "question_id": "15457504-91", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "canvas.create_text(x, y, font=('VAR_STR', 12), text=VAR_STR)"}
+{"nl": "create a pandas data frame from list of nested dictionaries `my_list`", "cmd": "pd.concat([pd.DataFrame(l) for l in my_list], axis=1).T", "question_id": "41946927-22", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.concat", "pandas.reference.api.pandas.dataframe"], "canonical_cmd": "pd.concat([pd.DataFrame(l) for l in VAR_STR], axis=1).T"}
+{"nl": "check if string `one` exists in the values of dictionary `d`", "cmd": "'one' in list(d.values())", "question_id": "8214932-71", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#dict.values"], "canonical_cmd": "'VAR_STR' in list(VAR_STR.values())"}
+{"nl": "Check if value 'one' is among the values of dictionary `d`", "cmd": "'one' in iter(d.values())", "question_id": "8214932-94", "cmd_name": "conala", "oracle_man": ["python.library.functions#iter", "python.library.stdtypes#dict.values"], "canonical_cmd": "'VAR_STR' in iter(VAR_STR.values())"}
+{"nl": "change legend size to 'x-small' in upper-left location", "cmd": "pyplot.legend(loc=2, fontsize='x-small')", "question_id": "7125009-76", "cmd_name": "conala", "oracle_man": ["matplotlib._as_gen.matplotlib.pyplot.legend", "pandas.reference.api.pandas.dataframe.loc"], "canonical_cmd": "pyplot.legend(loc=2, fontsize='VAR_STR')"}
+{"nl": "change legend font size with matplotlib.pyplot to 6", "cmd": "plot.legend(loc=2, prop={'size': 6})", "question_id": "7125009-57", "cmd_name": "conala", "oracle_man": ["matplotlib.legend_api#matplotlib.legend.Legend", "pandas.reference.api.pandas.dataframe.loc"], "canonical_cmd": "plot.legend(loc=2, prop={'size': 6})"}
+{"nl": "remove all whitespace in a string `sentence`", "cmd": "sentence.replace(' ', '')", "question_id": "8270092-77", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.replace"], "canonical_cmd": "VAR_STR.replace(' ', '')"}
+{"nl": "remove all whitespace in a string `sentence`", "cmd": "pattern = re.compile('\\\\s+')\nsentence = re.sub(pattern, '', sentence)", "question_id": "8270092-68", "cmd_name": "conala", "oracle_man": ["python.library.re#re.compile", "python.library.re#re.sub"], "canonical_cmd": "pattern = re.compile('\\\\s+')\nVAR_STR = re.sub(pattern, '', VAR_STR)"}
+{"nl": "remove whitespace in string `sentence` from beginning and end", "cmd": "sentence.strip()", "question_id": "8270092-97", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.strip"], "canonical_cmd": "VAR_STR.strip()"}
+{"nl": "remove all whitespaces in string `sentence`", "cmd": "sentence = re.sub('\\\\s+', '', sentence, flags=re.UNICODE)", "question_id": "8270092-87", "cmd_name": "conala", "oracle_man": ["python.library.re#re.sub"], "canonical_cmd": "VAR_STR = re.sub('\\\\s+', '', VAR_STR, flags=re.UNICODE)"}
+{"nl": "remove all whitespaces in a string `sentence`", "cmd": "sentence = ''.join(sentence.split())", "question_id": "8270092-31", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.join", "python.library.stdtypes#str.split"], "canonical_cmd": "VAR_STR = ''.join(VAR_STR.split())"}
+{"nl": "create dataframe `df` with content of hdf store file '/home/.../data.h5' with key of 'firstSet'", "cmd": "df1 = pd.read_hdf('/home/.../data.h5', 'firstSet')", "question_id": "14591855-94", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.read_hdf"], "canonical_cmd": "df1 = pd.read_hdf('VAR_STR', 'VAR_STR')"}
+{"nl": "read a text file 'very_Important.txt' into a string variable `str`", "cmd": "str = open('very_Important.txt', 'r').read()", "question_id": "8369219-15", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open", "python.library.os#os.read"], "canonical_cmd": "VAR_STR = open('VAR_STR', 'r').read()"}
+{"nl": "handle the `urlfetch_errors ` exception for imaplib request to url `url`", "cmd": "urlfetch.fetch(url, deadline=10 * 60)", "question_id": "19445682-35", "cmd_name": "conala", "oracle_man": ["python.library.imaplib#imaplib.IMAP4.fetch"], "canonical_cmd": "urlfetch.fetch(VAR_STR, deadline=10 * 60)"}
+{"nl": "remove the fragment identifier `#something` from a url `http://www.address.com/something#something`", "cmd": "urlparse.urldefrag('http://www.address.com/something#something')", "question_id": "6250046-45", "cmd_name": "conala", "oracle_man": ["python.library.urllib.parse#urllib.parse.urldefrag"], "canonical_cmd": "urlparse.urldefrag('VAR_STR')"}
+{"nl": "reverse sort items in dictionary `mydict` by value", "cmd": "sorted(iter(mydict.items()), key=itemgetter(1), reverse=True)", "question_id": "9849192-97", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.functions#iter", "python.library.operator#operator.itemgetter", "python.library.stdtypes#dict.items"], "canonical_cmd": "sorted(iter(VAR_STR.items()), key=itemgetter(1), reverse=True)"}
+{"nl": "Flask get value of request variable 'firstname'", "cmd": "first_name = request.args.get('firstname')", "question_id": "13279399-43", "cmd_name": "conala", "oracle_man": ["python.library.webbrowser#webbrowser.get"], "canonical_cmd": "first_name = request.args.get('VAR_STR')"}
+{"nl": "Flask get posted form data 'firstname'", "cmd": "first_name = request.form.get('firstname')", "question_id": "13279399-5", "cmd_name": "conala", "oracle_man": ["python.library.webbrowser#webbrowser.get"], "canonical_cmd": "first_name = request.form.get('VAR_STR')"}
+{"nl": "read the contents of the file 'file.txt' into `txt`", "cmd": "txt = open('file.txt').read()", "question_id": "3278850-59", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open", "python.library.os#os.read"], "canonical_cmd": "VAR_STR = open('VAR_STR').read()"}
+{"nl": "using python's datetime module, get the year that utc-11 is currently in", "cmd": "(datetime.datetime.utcnow() - datetime.timedelta(hours=11)).year", "question_id": "14043080-28", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.utcnow", "python.library.datetime#datetime.timedelta"], "canonical_cmd": "(datetime.datetime.utcnow() - datetime.timedelta(hours=11)).year"}
+{"nl": "Filter model 'Entry' where 'id' is not equal to 3 in Django", "cmd": "Entry.objects.filter(~Q(id=3))", "question_id": "687295-63", "cmd_name": "conala", "oracle_man": ["python.library.logging#logging.Filter.filter"], "canonical_cmd": "VAR_STR.objects.filter(~Q(VAR_STR=3))"}
+{"nl": "using beautifulsoup to select div blocks within html `soup`", "cmd": "soup.find_all('div', class_='crBlock ')", "question_id": "19011613-15", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR.find_all('div', class_='crBlock ')"}
+{"nl": "convert hex triplet string `rgbstr` to rgb tuple", "cmd": "struct.unpack('BBB', rgbstr.decode('hex'))", "question_id": "4296249-87", "cmd_name": "conala", "oracle_man": ["python.library.struct#struct.unpack", "python.library.stdtypes#bytearray.decode"], "canonical_cmd": "struct.unpack('BBB', VAR_STR.decode('hex'))"}
+{"nl": "reverse a string `a` by 2 characters at a time", "cmd": "\"\"\"\"\"\".join(reversed([a[i:i + 2] for i in range(0, len(a), 2)]))", "question_id": "5864271-27", "cmd_name": "conala", "oracle_man": ["python.library.functions#len", "python.library.functions#range", "python.library.functions#reversed", "python.library.stdtypes#str.join"], "canonical_cmd": "\"\"\"\"\"\".join(reversed([VAR_STR[i:i + 2] for i in range(0, len(VAR_STR), 2)]))"}
+{"nl": "terminate the program", "cmd": "sys.exit()", "question_id": "73663-61", "cmd_name": "conala", "oracle_man": ["python.library.sys#sys.exit"], "canonical_cmd": "sys.exit()"}
+{"nl": "terminate the program", "cmd": "quit()", "question_id": "73663-36", "cmd_name": "conala", "oracle_man": ["python.library.constants#quit"], "canonical_cmd": "quit()"}
+{"nl": "Terminating a Python script with error message \"some error message\"", "cmd": "sys.exit('some error message')", "question_id": "73663-66", "cmd_name": "conala", "oracle_man": ["python.library.sys#sys.exit"], "canonical_cmd": "sys.exit('VAR_STR')"}
+{"nl": "Mysql commit current transaction", "cmd": "con.commit()", "question_id": "21974169-23", "cmd_name": "conala", "oracle_man": ["python.library.msilib#msilib.CAB.commit"], "canonical_cmd": "con.commit()"}
+{"nl": "hide output of subprocess `['espeak', text]`", "cmd": "subprocess.check_output(['espeak', text], stderr=subprocess.STDOUT)", "question_id": "11269575-66", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.check_output"], "canonical_cmd": "subprocess.check_output([VAR_STR], stderr=subprocess.STDOUT)"}
+{"nl": "convert a string `s` containing a decimal to an integer", "cmd": "int(Decimal(s))", "question_id": "1094717-63", "cmd_name": "conala", "oracle_man": ["python.library.functions#int", "python.library.decimal#decimal.Decimal"], "canonical_cmd": "int(Decimal(VAR_STR))"}
+{"nl": "Convert a string to integer with decimal in Python", "cmd": "int(s.split('.')[0])", "question_id": "1094717-69", "cmd_name": "conala", "oracle_man": ["python.library.functions#int", "python.library.stdtypes#str.split"], "canonical_cmd": "int(s.split('.')[0])"}
+{"nl": "elementwise product of 3d arrays `A` and `B`", "cmd": "np.einsum('ijk,ikl->ijl', A, B)", "question_id": "31957364-53", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.einsum"], "canonical_cmd": "np.einsum('ijk,ikl->ijl', VAR_STR, VAR_STR)"}
+{"nl": "run shell command 'rm -r some.file' in the background", "cmd": "subprocess.Popen(['rm', '-r', 'some.file'])", "question_id": "1196074-89", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.Popen"], "canonical_cmd": "subprocess.Popen(['rm', '-r', 'some.file'])"}
+{"nl": "round off entries in dataframe `df` column `Alabama_exp` to two decimal places, and entries in column `Credit_exp` to three decimal places", "cmd": "df.round({'Alabama_exp': 2, 'Credit_exp': 3})", "question_id": "19100540-33", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.round"], "canonical_cmd": "VAR_STR.round({'VAR_STR': 2, 'VAR_STR': 3})"}
+{"nl": "retrieve an element from a set `s` without removing it", "cmd": "e = next(iter(s))", "question_id": "59825-84", "cmd_name": "conala", "oracle_man": ["python.library.functions#iter", "python.library.functions#next"], "canonical_cmd": "e = next(iter(VAR_STR))"}
+{"nl": "Parse string `datestr` into a datetime object using format pattern '%Y-%m-%d'", "cmd": "dateobj = datetime.datetime.strptime(datestr, '%Y-%m-%d').date()", "question_id": "5868374-42", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.strptime", "python.library.datetime#datetime.datetime.date"], "canonical_cmd": "dateobj = datetime.datetime.strptime(VAR_STR, 'VAR_STR').date()"}
+{"nl": "encode a pdf file `pdf_reference.pdf` with `base64` encoding", "cmd": "a = open('pdf_reference.pdf', 'rb').read().encode('base64')", "question_id": "208894-61", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open", "python.library.stdtypes#str.encode", "python.library.os#os.read"], "canonical_cmd": "a = open('VAR_STR', 'rb').read().encode('VAR_STR')"}
+{"nl": "change current working directory to directory 'chapter3'", "cmd": "os.chdir('chapter3')", "question_id": "20796355-35", "cmd_name": "conala", "oracle_man": ["python.library.os#os.chdir"], "canonical_cmd": "os.chdir('VAR_STR')"}
+{"nl": "change current working directory", "cmd": "os.chdir('C:\\\\Users\\\\username\\\\Desktop\\\\headfirstpython\\\\chapter3')", "question_id": "20796355-88", "cmd_name": "conala", "oracle_man": ["python.library.os#os.chdir"], "canonical_cmd": "os.chdir('C:\\\\Users\\\\username\\\\Desktop\\\\headfirstpython\\\\chapter3')"}
+{"nl": "change current working directory", "cmd": "os.chdir('.\\\\chapter3')", "question_id": "20796355-81", "cmd_name": "conala", "oracle_man": ["python.library.os#os.chdir"], "canonical_cmd": "os.chdir('.\\\\chapter3')"}
+{"nl": "upload file with Python Mechanize", "cmd": "br.form.add_file(open(filename), 'text/plain', filename)", "question_id": "1299855-22", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open", "python.library.msilib#msilib.Directory.add_file"], "canonical_cmd": "br.form.add_file(open(filename), 'text/plain', filename)"}
+{"nl": "Match regex '[a-zA-Z][\\\\w-]*\\\\Z' on string 'A\\n'", "cmd": "re.match('[a-zA-Z][\\\\w-]*\\\\Z', 'A\\n')", "question_id": "2317134-81", "cmd_name": "conala", "oracle_man": ["python.library.re#re.match"], "canonical_cmd": "re.match('VAR_STR', 'VAR_STR')"}
+{"nl": "match regex '[a-zA-Z][\\\\w-]*$' on string '!A_B'", "cmd": "re.match('[a-zA-Z][\\\\w-]*$', '!A_B')", "question_id": "2317134-43", "cmd_name": "conala", "oracle_man": ["python.library.re#re.match"], "canonical_cmd": "re.match('VAR_STR', 'VAR_STR')"}
+{"nl": "Find all `div` tags whose classes has the value `comment-` in a beautiful soup object `soup`", "cmd": "soup.find_all('div', class_=re.compile('comment-'))", "question_id": "13794532-6", "cmd_name": "conala", "oracle_man": ["python.library.re#re.compile"], "canonical_cmd": "VAR_STR.find_all('VAR_STR', class_=re.compile('VAR_STR'))"}
+{"nl": "Matplotlib clear the current axes.", "cmd": "plt.cla()", "question_id": "741877-37", "cmd_name": "conala", "oracle_man": ["matplotlib.spines_api#matplotlib.spines.Spine.cla"], "canonical_cmd": "plt.cla()"}
+{"nl": "Open file 'sample.json' in read mode with encoding of 'utf-8-sig'", "cmd": "json.load(codecs.open('sample.json', 'r', 'utf-8-sig'))", "question_id": "13156395-50", "cmd_name": "conala", "oracle_man": ["python.library.json#json.load", "python.library.codecs#codecs.open"], "canonical_cmd": "json.load(codecs.open('VAR_STR', 'r', 'VAR_STR'))"}
+{"nl": "load json file 'sample.json' with utf-8 bom header", "cmd": "json.loads(open('sample.json').read().decode('utf-8-sig'))", "question_id": "13156395-75", "cmd_name": "conala", "oracle_man": ["python.library.json#json.loads", "python.library.urllib.request#open", "python.library.json#json.JSONDecoder.decode"], "canonical_cmd": "json.loads(open('VAR_STR').read().decode('utf-8-sig'))"}
+{"nl": "properly quit a program", "cmd": "sys.exit(0)", "question_id": "13022385-76", "cmd_name": "conala", "oracle_man": ["python.library.sys#sys.exit"], "canonical_cmd": "sys.exit(0)"}
+{"nl": "convert string representation `s2` of binary string rep of integer to floating point number", "cmd": "struct.unpack('d', struct.pack('Q', int(s2, 0)))[0]", "question_id": "8751653-82", "cmd_name": "conala", "oracle_man": ["python.library.struct#struct.unpack", "python.library.struct#struct.pack", "python.library.functions#int"], "canonical_cmd": "struct.unpack('d', struct.pack('Q', int(VAR_STR, 0)))[0]"}
+{"nl": "convert a binary '-0b1110' to a float number", "cmd": "float(int('-0b1110', 0))", "question_id": "8751653-25", "cmd_name": "conala", "oracle_man": ["python.library.functions#float", "python.library.functions#int"], "canonical_cmd": "float(int('VAR_STR', 0))"}
+{"nl": "convert a binary `b8` to a float number", "cmd": "struct.unpack('d', b8)[0]", "question_id": "8751653-54", "cmd_name": "conala", "oracle_man": ["python.library.struct#struct.unpack"], "canonical_cmd": "struct.unpack('d', VAR_STR)[0]"}
+{"nl": "in django, check if a user is in a group 'Member'", "cmd": "return user.groups.filter(name='Member').exists()", "question_id": "4789021-9", "cmd_name": "conala", "oracle_man": ["python.library.logging#logging.Filter.filter", "python.library.zipfile#zipfile.Path.exists"], "canonical_cmd": "return user.groups.filter(name='VAR_STR').exists()"}
+{"nl": "check if a user `user` is in a group from list of groups `['group1', 'group2']`", "cmd": "return user.groups.filter(name__in=['group1', 'group2']).exists()", "question_id": "4789021-88", "cmd_name": "conala", "oracle_man": ["python.library.logging#logging.Filter.filter", "python.library.zipfile#zipfile.Path.exists"], "canonical_cmd": "return VAR_STR.groups.filter(name__in=[VAR_STR]).exists()"}
+{"nl": "find rows matching `(0,1)` in a 2 dimensional numpy array `vals`", "cmd": "np.where((vals == (0, 1)).all(axis=1))", "question_id": "25823608-56", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.where", "python.library.functions#all"], "canonical_cmd": "np.where((VAR_STR == (0, 1)).all(axis=1))"}
+{"nl": "change directory to the directory of a python script", "cmd": "os.chdir(os.path.dirname(__file__))", "question_id": "509742-28", "cmd_name": "conala", "oracle_man": ["python.library.os.path#os.path.dirname", "python.library.os#os.chdir"], "canonical_cmd": "os.chdir(os.path.dirname(__file__))"}
+{"nl": "export a table dataframe `df` in pyspark to csv 'mycsv.csv'", "cmd": "df.toPandas().to_csv('mycsv.csv')", "question_id": "31385363-83", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.to_csv"], "canonical_cmd": "VAR_STR.toPandas().to_csv('VAR_STR')"}
+{"nl": "Write DataFrame `df` to csv file 'mycsv.csv'", "cmd": "df.write.csv('mycsv.csv')", "question_id": "31385363-50", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR.write.csv('VAR_STR')"}
+{"nl": "zip a list of tuples `[(1, 4), (2, 5), (3, 6)]` into a list of tuples according to original tuple index", "cmd": "zip(*[(1, 4), (2, 5), (3, 6)])", "question_id": "8092877-26", "cmd_name": "conala", "oracle_man": ["python.library.functions#zip"], "canonical_cmd": "zip(*[VAR_STR])"}
+{"nl": "split a list of tuples `data` into sub-lists of the same tuple field using itertools", "cmd": "[list(group) for key, group in itertools.groupby(data, operator.itemgetter(1))]", "question_id": "8092877-98", "cmd_name": "conala", "oracle_man": ["python.library.operator#operator.itemgetter", "python.library.itertools#itertools.groupby", "python.library.functions#list"], "canonical_cmd": "[list(group) for key, group in itertools.groupby(VAR_STR, operator.itemgetter(1))\n    ]"}
+{"nl": "pandas dataframe `df` column 'a' to list", "cmd": "df['a'].values.tolist()", "question_id": "23748995-25", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#memoryview.tolist"], "canonical_cmd": "VAR_STR['VAR_STR'].values.tolist()"}
+{"nl": "Get a list of all values in column `a` in pandas data frame `df`", "cmd": "df['a'].tolist()", "question_id": "23748995-42", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#memoryview.tolist"], "canonical_cmd": "VAR_STR['VAR_STR'].tolist()"}
+{"nl": "parse UTF-8 encoded HTML response `response` to BeautifulSoup object", "cmd": "soup = BeautifulSoup(response.read().decode('utf-8'))", "question_id": "20205455-79", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#bytearray.decode", "python.library.os#os.read"], "canonical_cmd": "soup = BeautifulSoup(VAR_STR.read().decode('utf-8'))"}
+{"nl": "get all the values from a numpy array `a` excluding index 3", "cmd": "a[np.arange(len(a)) != 3]", "question_id": "7429118-70", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.arange", "python.library.functions#len"], "canonical_cmd": "VAR_STR[np.arange(len(VAR_STR)) != 3]"}
+{"nl": "get the output of a subprocess command `echo \"foo\"` in command line", "cmd": "subprocess.check_output('echo \"foo\"', shell=True)", "question_id": "8217613-41", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.check_output"], "canonical_cmd": "subprocess.check_output('VAR_STR', shell=True)"}
+{"nl": "extract unique dates from time series 'Date' in dataframe `df`", "cmd": "df['Date'].map(lambda t: t.date()).unique()", "question_id": "14673394-12", "cmd_name": "conala", "oracle_man": ["python.library.functions#map", "numpy.reference.generated.numpy.unique"], "canonical_cmd": "VAR_STR['VAR_STR'].map(lambda t: t.date()).unique()"}
+{"nl": "check if file `filename` is descendant of directory '/the/dir/'", "cmd": "os.path.commonprefix(['/the/dir/', os.path.realpath(filename)]) == '/the/dir/'", "question_id": "3328012-17", "cmd_name": "conala", "oracle_man": ["python.library.os.path#os.path.commonprefix", "python.library.os.path#os.path.realpath"], "canonical_cmd": "os.path.commonprefix(['VAR_STR', os.path.realpath(VAR_STR)]) == 'VAR_STR'"}
+{"nl": "create a dictionary of pairs from a list of tuples `myListOfTuples`", "cmd": "dict(x[1:] for x in reversed(myListOfTuples))", "question_id": "3457673-86", "cmd_name": "conala", "oracle_man": ["python.library.functions#reversed", "python.library.stdtypes#dict"], "canonical_cmd": "dict(x[1:] for x in reversed(VAR_STR))"}
+{"nl": "sort a list of dictionary values by 'date' in reverse order", "cmd": "list.sort(key=lambda item: item['date'], reverse=True)", "question_id": "652291-62", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#list.sort"], "canonical_cmd": "list.sort(key=lambda item: item['VAR_STR'], reverse=True)"}
+{"nl": "export a pandas data frame `df` to a file `mydf.tsv` and retain the indices", "cmd": "df.to_csv('mydf.tsv', sep='\\t')", "question_id": "11041411-88", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.to_csv"], "canonical_cmd": "VAR_STR.to_csv('VAR_STR', sep='\\t')"}
+{"nl": "Get the difference between two lists `[1, 2, 2, 2, 3]` and `[1, 2]` that may have duplicate values", "cmd": "Counter([1, 2, 2, 2, 3]) - Counter([1, 2])", "question_id": "33435418-32", "cmd_name": "conala", "oracle_man": ["python.library.collections#collections.Counter"], "canonical_cmd": "Counter([VAR_STR]) - Counter([VAR_STR])"}
+{"nl": "compare contents  at filehandles `file1` and `file2` using difflib", "cmd": "difflib.SequenceMatcher(None, file1.read(), file2.read())", "question_id": "977491-44", "cmd_name": "conala", "oracle_man": ["python.library.difflib#difflib.SequenceMatcher", "python.library.os#os.read"], "canonical_cmd": "difflib.SequenceMatcher(None, VAR_STR.read(), VAR_STR.read())"}
+{"nl": "Get a minimum value from a list of tuples `list` with values of type `string` and `float` with nan", "cmd": "min(list, key=lambda x: float('inf') if math.isnan(x[1]) else x[1])", "question_id": "15148684-45", "cmd_name": "conala", "oracle_man": ["python.library.math#math.isnan", "python.library.functions#float", "python.library.functions#min"], "canonical_cmd": "min(VAR_STR, key=lambda x: VAR_STR('inf') if math.isnan(x[1]) else x[1])"}
+{"nl": "convert list `lst` of tuples of floats to list `str_list` of tuples of strings of floats in scientific notation with eight decimal point precision", "cmd": "str_list = [tuple('{0:.8e}'.format(flt) for flt in sublist) for sublist in lst]", "question_id": "16127862-90", "cmd_name": "conala", "oracle_man": ["python.library.functions#tuple", "python.library.functions#format"], "canonical_cmd": "VAR_STR = [tuple('{0:.8e}'.format(flt) for flt in sublist) for sublist in VAR_STR]"}
+{"nl": "convert list of sublists `lst` of floats to a list of sublists `str_list` of strings of integers in scientific notation with 8 decimal points", "cmd": "str_list = [['{0:.8e}'.format(flt) for flt in sublist] for sublist in lst]", "question_id": "16127862-87", "cmd_name": "conala", "oracle_man": ["python.library.functions#format"], "canonical_cmd": "VAR_STR = [['{0:.8e}'.format(flt) for flt in sublist] for sublist in VAR_STR]"}
+{"nl": "get element at index 0 of first row and element at index 1 of second row in array `A`", "cmd": "A[[0, 1], [0, 1]]", "question_id": "2111163-71", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR[[0, 1], [0, 1]]"}
+{"nl": "subset numpy array `a` by column and row, returning the values from the first row, first column and the second row, second column and the third row, first column.", "cmd": "a[np.arange(3), (0, 1, 0)]", "question_id": "2111163-33", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.arange"], "canonical_cmd": "VAR_STR[np.arange(3), (0, 1, 0)]"}
+{"nl": "Find all the tags `a` and `div` from Beautiful Soup object `soup`", "cmd": "soup.find_all(['a', 'div'])", "question_id": "24748445-94", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR.find_all(['VAR_STR', 'VAR_STR'])"}
+{"nl": "Reverse a string 'hello world'", "cmd": "'hello world'[::(-1)]", "question_id": "931092-70", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "\"\"\"VAR_STR\"\"\"[::-1]"}
+{"nl": "Reverse list `s`", "cmd": "s[::(-1)]", "question_id": "931092-64", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR[::-1]"}
+{"nl": "Reverse string 'foo'", "cmd": "''.join(reversed('foo'))", "question_id": "931092-5", "cmd_name": "conala", "oracle_man": ["python.library.functions#reversed", "python.library.stdtypes#str.join"], "canonical_cmd": "\"\"\"\"\"\".join(reversed('VAR_STR'))"}
+{"nl": "Reverse a string `string`", "cmd": "''.join(reversed(string))", "question_id": "931092-74", "cmd_name": "conala", "oracle_man": ["python.library.functions#reversed", "python.library.stdtypes#str.join"], "canonical_cmd": "\"\"\"\"\"\".join(reversed(VAR_STR))"}
+{"nl": "Reverse a string \"foo\"", "cmd": "'foo'[::(-1)]", "question_id": "931092-65", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "\"\"\"VAR_STR\"\"\"[::-1]"}
+{"nl": "Reverse a string `a_string`", "cmd": "a_string[::(-1)]", "question_id": "931092-99", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR[::-1]"}
+{"nl": "Reverse a string `a_string`", "cmd": "def reversed_string(a_string):\n    return a_string[::(-1)]", "question_id": "931092-20", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "def reversed_string(VAR_STR):\n    return VAR_STR[::-1]"}
+{"nl": "Reverse a string `s`", "cmd": "''.join(reversed(s))", "question_id": "931092-77", "cmd_name": "conala", "oracle_man": ["python.library.functions#reversed", "python.library.stdtypes#str.join"], "canonical_cmd": "\"\"\"\"\"\".join(reversed(VAR_STR))"}
+{"nl": "set the stdin of the process 'grep f' to be b'one\\ntwo\\nthree\\nfour\\nfive\\nsix\\n'", "cmd": "p = Popen(['grep', 'f'], stdout=PIPE, stdin=PIPE, stderr=STDOUT)\ngrep_stdout = p.communicate(input='one\\ntwo\\nthree\\nfour\\nfive\\nsix\\n')[0]", "question_id": "163542-7", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.Popen.communicate", "python.library.os#os.popen"], "canonical_cmd": "p = Popen(['grep', 'f'], stdout=PIPE, stdin=PIPE, stderr=STDOUT)\ngrep_stdout = p.communicate(input='VAR_STR')[0]"}
+{"nl": "set the stdin of the process 'grep f' to be 'one\\ntwo\\nthree\\nfour\\nfive\\nsix\\n'", "cmd": "p = subprocess.Popen(['grep', 'f'], stdout=subprocess.PIPE, stdin=subprocess.PIPE)\np.stdin.write('one\\ntwo\\nthree\\nfour\\nfive\\nsix\\n')\np.communicate()[0]\np.stdin.close()", "question_id": "163542-94", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.Popen", "python.library.subprocess#subprocess.Popen.communicate", "python.library.os#os.write"], "canonical_cmd": "p = subprocess.Popen(['grep', 'f'], stdout=subprocess.PIPE, stdin=\n    subprocess.PIPE)\np.stdin.write('VAR_STR')\np.communicate()[0]\np.stdin.close()"}
+{"nl": "normalize a pandas dataframe `df` by row", "cmd": "df.div(df.sum(axis=1), axis=0)", "question_id": "18594469-11", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.div", "pandas.reference.api.pandas.dataframe.sum"], "canonical_cmd": "VAR_STR.div(VAR_STR.sum(axis=1), axis=0)"}
+{"nl": "convert `i` to string", "cmd": "str(i)", "question_id": "961632-89", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str"], "canonical_cmd": "str(VAR_STR)"}
+{"nl": "convert `a` to string", "cmd": "a.__str__()", "question_id": "961632-44", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.__str__"], "canonical_cmd": "VAR_STR.__str__()"}
+{"nl": "convert `a` to string", "cmd": "str(a)", "question_id": "961632-33", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str"], "canonical_cmd": "str(VAR_STR)"}
+{"nl": "read a file from redirected stdin and save to variable `result`", "cmd": "result = sys.stdin.read()", "question_id": "27318022-32", "cmd_name": "conala", "oracle_man": ["python.library.os#os.read"], "canonical_cmd": "VAR_STR = sys.stdin.read()"}
+{"nl": "remove elements from an array `A` that are in array `B`", "cmd": "A[np.all(np.any(A - B[:, (None)], axis=2), axis=0)]", "question_id": "40055835-26", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.all", "numpy.reference.generated.numpy.any"], "canonical_cmd": "VAR_STR[np.all(np.any(VAR_STR - VAR_STR[:, (None)], axis=2), axis=0)]"}
+{"nl": "drop rows of dataframe `df` whose index is smaller than the value of `start_remove` or bigger than the value of`end_remove`", "cmd": "df.query('index < @start_remove or index > @end_remove')", "question_id": "41513324-64", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.query"], "canonical_cmd": "VAR_STR.query('index < @start_remove or index > @end_remove')"}
+{"nl": "Drop the rows in pandas timeseries `df` from the row containing index `start_remove` to the row containing index `end_remove`", "cmd": "df.loc[(df.index < start_remove) | (df.index > end_remove)]", "question_id": "41513324-67", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.loc"], "canonical_cmd": "VAR_STR.loc[(VAR_STR.index < VAR_STR) | (VAR_STR.index > VAR_STR)]"}
+{"nl": "Get all indexes of boolean numpy array where boolean value `mask` is True", "cmd": "numpy.where(mask)", "question_id": "8218032-86", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.where"], "canonical_cmd": "numpy.where(VAR_STR)"}
+{"nl": "Convert CSV file `Result.csv` to Pandas dataframe using separator ' '", "cmd": "df.to_csv('Result.csv', index=False, sep=' ')", "question_id": "32533944-71", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.to_csv"], "canonical_cmd": "df.to_csv('VAR_STR', index=False, sep=' ')"}
+{"nl": "convert a list of dictionaries `d` to pandas data frame", "cmd": "pd.DataFrame(d)", "question_id": "20638006-85", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe"], "canonical_cmd": "pd.DataFrame(VAR_STR)"}
+{"nl": "Open gzip-compressed file encoded as utf-8 'file.gz' in text mode", "cmd": "gzip.open('file.gz', 'rt', encoding='utf-8')", "question_id": "1883604-86", "cmd_name": "conala", "oracle_man": ["python.library.gzip#gzip.open"], "canonical_cmd": "gzip.open('VAR_STR', 'rt', encoding='utf-8')"}
+{"nl": "navigate to webpage given by url `http://www.python.org` using Selenium", "cmd": "driver.get('http://www.google.com.br')", "question_id": "29983106-25", "cmd_name": "conala", "oracle_man": ["python.library.webbrowser#webbrowser.get"], "canonical_cmd": "driver.get('http://www.google.com.br')"}
+{"nl": "check if \"blah\" is in string `somestring`", "cmd": "if ('blah' not in somestring):\n    pass", "question_id": "3437059-20", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "if 'VAR_STR' not in VAR_STR:\n    pass"}
+{"nl": "check if string `needle` is in `haystack`", "cmd": "if (needle in haystack):\n    pass", "question_id": "3437059-17", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "if VAR_STR in VAR_STR:\n    pass"}
+{"nl": "check if string \"substring\" is in string", "cmd": "string.find('substring')", "question_id": "3437059-17", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "string.find('VAR_STR')"}
+{"nl": "check if string `s` contains \"is\"", "cmd": "if (s.find('is') == (-1)):\n    print(\"No 'is' here!\")\nelse:\n    print(\"Found 'is' in the string.\")", "question_id": "3437059-83", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "if VAR_STR.find('VAR_STR') == -1:\n    print(\"No 'is' here!\")\nelse:\n    print(\"Found 'is' in the string.\")"}
+{"nl": "calling a function named 'myfunction' in the module", "cmd": "globals()['myfunction']()", "question_id": "3061-93", "cmd_name": "conala", "oracle_man": ["python.library.functions#globals"], "canonical_cmd": "globals()['VAR_STR']()"}
+{"nl": "get the dimensions of numpy array `a`", "cmd": "a.shape", "question_id": "3061761-63", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR.shape"}
+{"nl": "get the dimensions of numpy array `a`", "cmd": "N.shape(a)", "question_id": "3061761-55", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.shape"], "canonical_cmd": "N.shape(VAR_STR)"}
+{"nl": "get the dimensions of array `a`", "cmd": "N.shape(a)", "question_id": "3061761-89", "cmd_name": "conala", "oracle_man": ["python.library.turtle#turtle.Shape"], "canonical_cmd": "N.shape(VAR_STR)"}
+{"nl": "get the dimensions of numpy array `a`", "cmd": "a.shape", "question_id": "3061761-31", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR.shape"}
+{"nl": "convert double 0.00582811585976 to float", "cmd": "struct.unpack('f', struct.pack('f', 0.00582811585976))", "question_id": "13291539-54", "cmd_name": "conala", "oracle_man": ["python.library.struct#struct.unpack", "python.library.struct#struct.pack"], "canonical_cmd": "struct.unpack('f', struct.pack('f', 0.00582811585976))"}
+{"nl": "how to uniqify a list of dict in python", "cmd": "[dict(y) for y in set(tuple(x.items()) for x in d)]", "question_id": "6280978-9", "cmd_name": "conala", "oracle_man": ["python.library.functions#tuple", "python.library.stdtypes#dict", "python.library.stdtypes#set", "python.library.stdtypes#dict.items"], "canonical_cmd": "[dict(y) for y in set(tuple(x.items()) for x in d)]"}
+{"nl": "get a list of words `words` of a file 'myfile'", "cmd": "words = open('myfile').read().split()", "question_id": "7745260-45", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open", "python.library.os#os.read", "python.library.stdtypes#str.split"], "canonical_cmd": "VAR_STR = open('VAR_STR').read().split()"}
+{"nl": "Convert array `a` to numpy array", "cmd": "a = np.array(a)", "question_id": "7717380-65", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.array"], "canonical_cmd": "VAR_STR = np.array(VAR_STR)"}
+{"nl": "create a django query for a list of values `1, 4, 7`", "cmd": "Blog.objects.filter(pk__in=[1, 4, 7])", "question_id": "9304908-37", "cmd_name": "conala", "oracle_man": ["python.library.logging#logging.Filter.filter"], "canonical_cmd": "Blog.objects.filter(pk__in=[1, 4, 7])"}
+{"nl": "case insensitive comparison of strings `string1` and `string2`", "cmd": "if (string1.lower() == string2.lower()):\n    print('The strings are the same (case insensitive)')\nelse:\n    print('The strings are not the same (case insensitive)')", "question_id": "319426-66", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.lower"], "canonical_cmd": "if VAR_STR.lower() == VAR_STR.lower():\n    print('The strings are the same (case insensitive)')\nelse:\n    print('The strings are not the same (case insensitive)')"}
+{"nl": "case insensitive string comparison between `string1` and `string2`", "cmd": "if (string1.lower() == string2.lower()):\n    pass", "question_id": "319426-3", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.lower"], "canonical_cmd": "if VAR_STR.lower() == VAR_STR.lower():\n    pass"}
+{"nl": "case insensitive string comparison between `string1` and `string2`", "cmd": "(string1.lower() == string2.lower())", "question_id": "319426-84", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.lower"], "canonical_cmd": "VAR_STR.lower() == VAR_STR.lower()"}
+{"nl": "case insensitive string comparison between `first` and `second`", "cmd": "(first.lower() == second.lower())", "question_id": "319426-70", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.lower"], "canonical_cmd": "VAR_STR.lower() == VAR_STR.lower()"}
+{"nl": "case insensitive comparison between strings `first` and `second`", "cmd": "(first.upper() == second.upper())", "question_id": "319426-18", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.upper"], "canonical_cmd": "VAR_STR.upper() == VAR_STR.upper()"}
+{"nl": "Create a pandas dataframe of values from a dictionary `d` which contains dictionaries of dictionaries", "cmd": "pd.concat(map(pd.DataFrame, iter(d.values())), keys=list(d.keys())).stack().unstack(0)", "question_id": "15455388-38", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.concat", "python.library.functions#iter", "python.library.functions#list", "python.library.functions#map", "pandas.reference.api.pandas.dataframe.unstack", "pandas.reference.api.pandas.dataframe.values", "pandas.reference.api.pandas.dataframe.stack"], "canonical_cmd": "pd.concat(map(pd.DataFrame, iter(VAR_STR.values())), keys=list(VAR_STR.keys())\n    ).stack().unstack(0)"}
+{"nl": "get count of rows in each series grouped by column 'col5' and column 'col2' of dataframe `df`", "cmd": "df.groupby(['col5', 'col2']).size().groupby(level=1).max()", "question_id": "17679089-100", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.groupby", "python.library.functions#max", "pandas.reference.api.pandas.core.groupby.groupby.size"], "canonical_cmd": "VAR_STR.groupby(['VAR_STR', 'VAR_STR']).size().groupby(level=1).max()"}
+{"nl": "get the attribute `x` from object `your_obj`", "cmd": "getattr(your_obj, x)", "question_id": "9396706-78", "cmd_name": "conala", "oracle_man": ["python.library.functions#getattr"], "canonical_cmd": "getattr(VAR_STR, VAR_STR)"}
+{"nl": "convert datetime object to date object in python", "cmd": "datetime.datetime.now().date()", "question_id": "3743222-35", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now", "python.library.datetime#datetime.datetime.date"], "canonical_cmd": "datetime.datetime.now().date()"}
+{"nl": "How do I convert datetime to date (in Python)?", "cmd": "datetime.datetime.now().date()", "question_id": "3743222-73", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now", "python.library.datetime#datetime.datetime.date"], "canonical_cmd": "datetime.datetime.now().date()"}
+{"nl": "sort numpy float array `A` column by column", "cmd": "A = np.array(sorted(A, key=tuple))", "question_id": "12496531-86", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "numpy.reference.generated.numpy.array"], "canonical_cmd": "VAR_STR = np.array(sorted(VAR_STR, key=tuple))"}
+{"nl": "convert string `s` to lowercase", "cmd": "s.lower()", "question_id": "6797984-32", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.lower"], "canonical_cmd": "VAR_STR.lower()"}
+{"nl": "convert utf-8 string `s` to lowercase", "cmd": "s.decode('utf-8').lower()", "question_id": "6797984-49", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.lower", "python.library.stdtypes#bytearray.decode"], "canonical_cmd": "VAR_STR.decode('utf-8').lower()"}
+{"nl": "Update a user's name as `Bob Marley` having id `123` in SQLAlchemy", "cmd": "session.query(User).filter_by(id=123).update({'name': 'Bob Marley'})", "question_id": "2631935-11", "cmd_name": "conala", "oracle_man": ["python.library.turtle#turtle.update"], "canonical_cmd": "session.query(User).filter_by(id=123).update({'name': 'VAR_STR'})"}
+{"nl": "define global variable `something` with value `bob`", "cmd": "globals()['something'] = 'bob'", "question_id": "13627865-82", "cmd_name": "conala", "oracle_man": ["python.library.functions#globals"], "canonical_cmd": "globals()['VAR_STR'] = 'VAR_STR'"}
+{"nl": "Check whether a numpy array `a` contains a given row `[1, 2]`", "cmd": "any(np.equal(a, [1, 2]).all(1))", "question_id": "14766194-35", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.equal", "python.library.functions#all", "python.library.functions#any"], "canonical_cmd": "any(np.equal(VAR_STR, [VAR_STR]).all(1))"}
+{"nl": "convert ndarray with shape 3x3 to array", "cmd": "np.zeros((3, 3)).ravel()", "question_id": "18200052-13", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.zeros", "numpy.reference.generated.numpy.ravel"], "canonical_cmd": "np.zeros((3, 3)).ravel()"}
+{"nl": "convert dict `result` to numpy structured array", "cmd": "numpy.array([(key, val) for key, val in result.items()], dtype)", "question_id": "15579649-73", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.array", "python.library.stdtypes#dict.items"], "canonical_cmd": "numpy.array([(key, val) for key, val in VAR_STR.items()], dtype)"}
+{"nl": "quit program", "cmd": "sys.exit(0)", "question_id": "2823472-99", "cmd_name": "conala", "oracle_man": ["python.library.sys#sys.exit"], "canonical_cmd": "sys.exit(0)"}
+{"nl": "sort list `mylist` alphabetically", "cmd": "mylist.sort(key=lambda x: x.lower())", "question_id": "36139-44", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.lower", "python.library.stdtypes#list.sort"], "canonical_cmd": "VAR_STR.sort(key=lambda x: x.lower())"}
+{"nl": "sort list `mylist` in alphabetical order", "cmd": "mylist.sort(key=str.lower)", "question_id": "36139-62", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#list.sort"], "canonical_cmd": "VAR_STR.sort(key=str.lower)"}
+{"nl": "sort a list of strings 'mylist'.", "cmd": "mylist.sort()", "question_id": "36139-23", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#list.sort"], "canonical_cmd": "VAR_STR.sort()"}
+{"nl": "sort a list of strings `list`", "cmd": "list.sort()", "question_id": "36139-32", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#list.sort"], "canonical_cmd": "VAR_STR.sort()"}
+{"nl": "load a file `file.py` into the python console", "cmd": "exec(compile(open('file.py').read(), 'file.py', 'exec'))", "question_id": "5280178-72", "cmd_name": "conala", "oracle_man": ["python.library.functions#exec", "python.library.functions#compile", "python.library.urllib.request#open", "python.library.os#os.read"], "canonical_cmd": "exec(compile(open('VAR_STR').read(), 'VAR_STR', 'exec'))"}
+{"nl": "check if string `test.mp3` ends with one of the strings from a tuple `('.mp3', '.avi')`", "cmd": "\"\"\"test.mp3\"\"\".endswith(('.mp3', '.avi'))", "question_id": "18351951-41", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.endswith"], "canonical_cmd": "\"\"\"VAR_STR\"\"\".endswith((VAR_STR))"}
+{"nl": "unpack first and second bytes of byte string `pS` into integer", "cmd": "struct.unpack('h', pS[0:2])", "question_id": "826284-77", "cmd_name": "conala", "oracle_man": ["python.library.struct#struct.unpack"], "canonical_cmd": "struct.unpack('h', VAR_STR[0:2])"}
+{"nl": "check if all string elements in list `words` are upper-cased", "cmd": "print(all(word[0].isupper() for word in words))", "question_id": "3668964-35", "cmd_name": "conala", "oracle_man": ["python.library.functions#all", "python.library.stdtypes#str.isupper"], "canonical_cmd": "print(all(word[0].isupper() for word in VAR_STR))"}
+{"nl": "convert dataframe `df` to integer-type sparse object", "cmd": "df.to_sparse(0)", "question_id": "41154648-81", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR.to_sparse(0)"}
+{"nl": "declare an array `variable`", "cmd": "variable = []", "question_id": "1514553-90", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR = []"}
+{"nl": "declare an array with element 'i'", "cmd": "intarray = array('i')", "question_id": "1514553-71", "cmd_name": "conala", "oracle_man": ["python.library.array#array.array"], "canonical_cmd": "intarray = array('VAR_STR')"}
+{"nl": "check if object `a` has property 'property'", "cmd": "if hasattr(a, 'property'):\n    pass", "question_id": "610883-92", "cmd_name": "conala", "oracle_man": ["python.library.functions#hasattr"], "canonical_cmd": "if hasattr(VAR_STR, 'VAR_STR'):\n    pass"}
+{"nl": "check if object `a` has property 'property'", "cmd": "if hasattr(a, 'property'):\n    pass", "question_id": "610883-9", "cmd_name": "conala", "oracle_man": ["python.library.functions#hasattr"], "canonical_cmd": "if hasattr(VAR_STR, 'VAR_STR'):\n    pass"}
+{"nl": "get the value of attribute 'property' of object `a` with default value 'default value'", "cmd": "getattr(a, 'property', 'default value')", "question_id": "610883-68", "cmd_name": "conala", "oracle_man": ["python.library.functions#getattr"], "canonical_cmd": "getattr(VAR_STR, 'VAR_STR', 'VAR_STR')"}
+{"nl": "create a list of all unique characters in string 'aaabcabccd'", "cmd": "\"\"\"\"\"\".join(list(OrderedDict.fromkeys('aaabcabccd').keys()))", "question_id": "13902805-83", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#dict.fromkeys", "python.library.stdtypes#dict.keys", "python.library.stdtypes#str.join"], "canonical_cmd": "\"\"\"\"\"\".join(list(OrderedDict.fromkeys('VAR_STR').keys()))"}
+{"nl": "get list of all unique characters in a string 'aaabcabccd'", "cmd": "list(set('aaabcabccd'))", "question_id": "13902805-92", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#set"], "canonical_cmd": "list(set('VAR_STR'))"}
+{"nl": "List of all unique characters in a string?", "cmd": "\"\"\"\"\"\".join(set('aaabcabccd'))", "question_id": "13902805-87", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#set", "python.library.stdtypes#str.join"], "canonical_cmd": "\"\"\"\"\"\".join(set('aaabcabccd'))"}
+{"nl": "find the index of sub string 'World' in `x`", "cmd": "x.find('World')", "question_id": "674764-8", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "VAR_STR.find('VAR_STR')"}
+{"nl": "find the index of sub string 'Aloha' in `x`", "cmd": "x.find('Aloha')", "question_id": "674764-33", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "VAR_STR.find('VAR_STR')"}
+{"nl": "find the index of sub string 'cc' in string 'sdfasdf'", "cmd": "'sdfasdf'.index('cc')", "question_id": "674764-19", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.index"], "canonical_cmd": "\"\"\"VAR_STR\"\"\".index('VAR_STR')"}
+{"nl": "find the index of sub string 'df' in string 'sdfasdf'", "cmd": "'sdfasdf'.index('df')", "question_id": "674764-45", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.index"], "canonical_cmd": "\"\"\"VAR_STR\"\"\".index('VAR_STR')"}
+{"nl": "find the index of sub string 'a' in string `str`", "cmd": "str.find('a')", "question_id": "674764-64", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "VAR_STR.find('VAR_STR')"}
+{"nl": "find the index of sub string 'g' in string `str`", "cmd": "str.find('g')", "question_id": "674764-91", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "VAR_STR.find('VAR_STR')"}
+{"nl": "find the index of sub string 's' in string `str` starting from index 11", "cmd": "str.find('s', 11)", "question_id": "674764-3", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "VAR_STR.find('VAR_STR', 11)"}
+{"nl": "find the index of sub string 's' in string `str` starting from index 15", "cmd": "str.find('s', 15)", "question_id": "674764-47", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "VAR_STR.find('VAR_STR', 15)"}
+{"nl": "find the index of sub string 's' in string `str` starting from index 16", "cmd": "str.find('s', 16)", "question_id": "674764-8", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "VAR_STR.find('VAR_STR', 16)"}
+{"nl": "find the index of sub string 's' in string `str` starting from index 11 and ending at index 14", "cmd": "str.find('s', 11, 14)", "question_id": "674764-5", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "VAR_STR.find('VAR_STR', 11, 14)"}
+{"nl": "reverse sort items in default dictionary `cityPopulation` by the third item in each key's list of values", "cmd": "sorted(iter(cityPopulation.items()), key=lambda k_v: k_v[1][2], reverse=True)", "question_id": "10194713-64", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.functions#iter", "python.library.stdtypes#dict.items"], "canonical_cmd": "sorted(iter(VAR_STR.items()), key=lambda k_v: k_v[1][2], reverse=True)"}
+{"nl": "Sort dictionary `u` in ascending order based on second elements of its values", "cmd": "sorted(list(u.items()), key=lambda v: v[1])", "question_id": "10194713-38", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.functions#list", "python.library.stdtypes#dict.items"], "canonical_cmd": "sorted(list(VAR_STR.items()), key=lambda v: v[1])"}
+{"nl": "reverse sort dictionary `d` based on its values", "cmd": "sorted(list(d.items()), key=lambda k_v: k_v[1], reverse=True)", "question_id": "10194713-1", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.functions#list", "python.library.stdtypes#dict.items"], "canonical_cmd": "sorted(list(VAR_STR.items()), key=lambda k_v: k_v[1], reverse=True)"}
+{"nl": "sorting a defaultdict `d` by value", "cmd": "sorted(list(d.items()), key=lambda k_v: k_v[1])", "question_id": "10194713-5", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.functions#list", "python.library.stdtypes#dict.items"], "canonical_cmd": "sorted(list(VAR_STR.items()), key=lambda k_v: k_v[1])"}
+{"nl": "terminate the script using status value 0", "cmd": "sys.exit(0)", "question_id": "179369-97", "cmd_name": "conala", "oracle_man": ["python.library.sys#sys.exit"], "canonical_cmd": "sys.exit(0)"}
+{"nl": "abort the execution of the script using message 'aa! errors!'", "cmd": "sys.exit('aa! errors!')", "question_id": "179369-62", "cmd_name": "conala", "oracle_man": ["python.library.sys#sys.exit"], "canonical_cmd": "sys.exit('VAR_STR')"}
+{"nl": "abort the execution of a python script", "cmd": "sys.exit()", "question_id": "179369-47", "cmd_name": "conala", "oracle_man": ["python.library.sys#sys.exit"], "canonical_cmd": "sys.exit()"}
+{"nl": "How to get yesterday in python", "cmd": "datetime.datetime.now() - datetime.timedelta(days=1)", "question_id": "19779790-35", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now", "python.library.datetime#datetime.timedelta"], "canonical_cmd": "datetime.datetime.now() - datetime.timedelta(days=1)"}
+{"nl": "create a pandas dataframe `df` from elements of a dictionary `nvalues`", "cmd": "df = pd.DataFrame.from_dict({k: v for k, v in list(nvalues.items()) if k != 'y3'})", "question_id": "37934969-37", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.from_dict", "python.library.functions#list", "pandas.reference.api.pandas.dataframe.items"], "canonical_cmd": "VAR_STR = pd.DataFrame.from_dict({k: v for k, v in list(VAR_STR.items()) if k !=\n    'y3'})"}
+{"nl": "find href value that has string 'follow?page' inside it", "cmd": "print(soup.find('a', href=re.compile('.*follow\\\\?page.*')))", "question_id": "11066874-58", "cmd_name": "conala", "oracle_man": ["python.library.re#re.compile", "python.library.stdtypes#str.find"], "canonical_cmd": "print(soup.find('a', href=re.compile('.*follow\\\\?page.*')))"}
+{"nl": "Get the average values from two numpy arrays `old_set` and `new_set`", "cmd": "np.mean(np.array([old_set, new_set]), axis=0)", "question_id": "18461623-27", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.mean", "numpy.reference.generated.numpy.array"], "canonical_cmd": "np.mean(np.array([VAR_STR, VAR_STR]), axis=0)"}
+{"nl": "Convert ascii value 'P' to binary", "cmd": "bin(ord('P'))", "question_id": "4523551-62", "cmd_name": "conala", "oracle_man": ["python.library.functions#bin", "python.library.functions#ord"], "canonical_cmd": "bin(ord('VAR_STR'))"}
+{"nl": "create a set containing all keys' names from dictionary `LoD`", "cmd": "{k for d in LoD for k in list(d.keys())}", "question_id": "11399384-83", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#dict.keys"], "canonical_cmd": "{k for d in VAR_STR for k in list(d.keys())}"}
+{"nl": "create a set containing all keys names from list of dictionaries `LoD`", "cmd": "set([i for s in [list(d.keys()) for d in LoD] for i in s])", "question_id": "11399384-59", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#set", "python.library.stdtypes#dict.keys"], "canonical_cmd": "set([i for s in [list(d.keys()) for d in VAR_STR] for i in s])"}
+{"nl": "extract all keys from a list of dictionaries `LoD`", "cmd": "[i for s in [list(d.keys()) for d in LoD] for i in s]", "question_id": "11399384-52", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#dict.keys"], "canonical_cmd": "[i for s in [list(d.keys()) for d in VAR_STR] for i in s]"}
+{"nl": "create a list containing the digits values from binary string `x` as elements", "cmd": "[int(d) for d in str(bin(x))[2:]]", "question_id": "13081090-42", "cmd_name": "conala", "oracle_man": ["python.library.functions#bin", "python.library.functions#int", "python.library.stdtypes#str"], "canonical_cmd": "[int(d) for d in str(bin(VAR_STR))[2:]]"}
+{"nl": "group dataframe `df` by columns 'Month' and 'Fruit'", "cmd": "df.groupby(['Month', 'Fruit']).sum().unstack(level=0)", "question_id": "42012589-82", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.groupby", "python.library.functions#sum", "pandas.reference.api.pandas.dataframe.unstack"], "canonical_cmd": "VAR_STR.groupby(['VAR_STR', 'VAR_STR']).sum().unstack(level=0)"}
+{"nl": "request page 'https://www.mysite.com/' with credentials of username 'username' and password 'pwd'", "cmd": "requests.get('https://www.mysite.com/', auth=('username', 'pwd'))", "question_id": "3355822-45", "cmd_name": "conala", "oracle_man": ["python.library.webbrowser#webbrowser.get"], "canonical_cmd": "requests.get('VAR_STR', auth=('VAR_STR', 'VAR_STR'))"}
+{"nl": "list folders in zip file 'file' that ends with '/'", "cmd": "[x for x in file.namelist() if x.endswith('/')]", "question_id": "6510477-50", "cmd_name": "conala", "oracle_man": ["python.library.zipfile#zipfile.ZipFile.namelist", "python.library.stdtypes#str.endswith"], "canonical_cmd": "[x for x in VAR_STR.namelist() if x.endswith('VAR_STR')]"}
+{"nl": "remove all spaces from a string converted from dictionary `{'a': 1, 'b': 'as df'}`", "cmd": "str({'a': 1, 'b': 'as df'}).replace(': ', ':').replace(', ', ',')", "question_id": "39268928-38", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str", "python.library.stdtypes#str.replace"], "canonical_cmd": "str({VAR_STR}).replace(': ', ':').replace(', ', ',')"}
+{"nl": "convert dictionary `dict` into a string formatted object", "cmd": "'{' + ','.join('{0!r}:{1!r}'.format(*x) for x in list(dct.items())) + '}'", "question_id": "39268928-72", "cmd_name": "conala", "oracle_man": ["python.library.functions#format", "python.library.functions#list", "python.library.stdtypes#dict.items", "python.library.stdtypes#str.join"], "canonical_cmd": "'{' + ','.join('{0!r}:{1!r}'.format(*x) for x in list(dct.items())) + '}'"}
+{"nl": "load a json data `json_string` into variable `json_data`", "cmd": "json_data = json.loads(json_string)", "question_id": "23970693-72", "cmd_name": "conala", "oracle_man": ["python.library.json#json.loads"], "canonical_cmd": "VAR_STR = json.loads(VAR_STR)"}
+{"nl": "Rename file from `src` to `dst`", "cmd": "os.rename(src, dst)", "question_id": "2759067-52", "cmd_name": "conala", "oracle_man": ["python.library.os#os.rename"], "canonical_cmd": "os.rename(VAR_STR, VAR_STR)"}
+{"nl": "pygobject center window `window`", "cmd": "window.set_position(Gtk.WindowPosition.CENTER)", "question_id": "16389188-53", "cmd_name": "conala", "oracle_man": ["python.library.xdrlib#xdrlib.Unpacker.set_position"], "canonical_cmd": "VAR_STR.set_position(Gtk.WindowPosition.CENTER)"}
+{"nl": "Retrieve parameter 'var_name' from a GET request.", "cmd": "self.request.get('var_name')", "question_id": "1391026-74", "cmd_name": "conala", "oracle_man": ["python.library.webbrowser#webbrowser.get"], "canonical_cmd": "self.request.get('VAR_STR')"}
+{"nl": "convert keys in dictionary `thedict` into case insensitive", "cmd": "theset = set(k.lower() for k in thedict)", "question_id": "3296499-25", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#set", "python.library.stdtypes#str.lower"], "canonical_cmd": "theset = set(k.lower() for k in VAR_STR)"}
+{"nl": "merge 2 dataframes `df1` and `df2` with same values in a column 'revenue' with and index 'date'", "cmd": "df2['revenue'] = df2.CET.map(df1.set_index('date')['revenue'])", "question_id": "41463763-99", "cmd_name": "conala", "oracle_man": ["python.library.functions#map", "pandas.reference.api.pandas.dataframe.set_index"], "canonical_cmd": "VAR_STR['VAR_STR'] = VAR_STR.CET.map(VAR_STR.set_index('VAR_STR')['VAR_STR'])"}
+{"nl": "permanently set the current directory to the 'C:/Users/Name/Desktop'", "cmd": "os.chdir('C:/Users/Name/Desktop')", "question_id": "30405804-73", "cmd_name": "conala", "oracle_man": ["python.library.os#os.chdir"], "canonical_cmd": "os.chdir('VAR_STR')"}
+{"nl": "get a request parameter `a` in jinja2", "cmd": "{{request.args.get('a')}}", "question_id": "9647586-2", "cmd_name": "conala", "oracle_man": ["python.library.webbrowser#webbrowser.get"], "canonical_cmd": "{{request.args.get('VAR_STR')}}"}
+{"nl": "get the  size of file 'C:\\\\Python27\\\\Lib\\\\genericpath.py'", "cmd": "os.stat('C:\\\\Python27\\\\Lib\\\\genericpath.py').st_size", "question_id": "6591931-80", "cmd_name": "conala", "oracle_man": ["python.library.os#os.stat"], "canonical_cmd": "os.stat('VAR_STR').st_size"}
+{"nl": "urlencode a querystring 'string_of_characters_like_these:$#@=?%^Q^$' in python 2", "cmd": "urllib.parse.quote_plus('string_of_characters_like_these:$#@=?%^Q^$')", "question_id": "5607551-13", "cmd_name": "conala", "oracle_man": ["python.library.urllib.parse#urllib.parse.quote_plus"], "canonical_cmd": "urllib.parse.quote_plus('VAR_STR')"}
+{"nl": "generate random Decimal", "cmd": "decimal.Decimal(random.randrange(10000)) / 100", "question_id": "439115-86", "cmd_name": "conala", "oracle_man": ["python.library.random#random.randrange"], "canonical_cmd": "decimal.Decimal(random.randrange(10000)) / 100"}
+{"nl": "How to get only the last part of a path in Python?", "cmd": "os.path.basename(os.path.normpath('/folderA/folderB/folderC/folderD/'))", "question_id": "3925096-46", "cmd_name": "conala", "oracle_man": ["python.library.os.path#os.path.basename", "python.library.os.path#os.path.normpath"], "canonical_cmd": "os.path.basename(os.path.normpath('/folderA/folderB/folderC/folderD/'))"}
+{"nl": "get index of key 'c' in dictionary `x`", "cmd": "list(x.keys()).index('c')", "question_id": "14538885-47", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#dict.keys"], "canonical_cmd": "list(VAR_STR.keys()).index('VAR_STR')"}
+{"nl": "create a list of values from the dictionary `programs` that have a key with a case insensitive match to 'new york'", "cmd": "[value for key, value in list(programs.items()) if 'new york' in key.lower()]", "question_id": "10484261-51", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#str.lower", "python.library.stdtypes#dict.items"], "canonical_cmd": "[value for key, value in list(VAR_STR.items()) if 'VAR_STR' in key.lower()]"}
+{"nl": "Replace special characters in utf-8 encoded string `s` using the %xx escape", "cmd": "urllib.parse.quote(s.encode('utf-8'))", "question_id": "8905864-66", "cmd_name": "conala", "oracle_man": ["python.library.urllib.parse#urllib.parse.quote", "python.library.stdtypes#str.encode"], "canonical_cmd": "urllib.parse.quote(VAR_STR.encode('utf-8'))"}
+{"nl": "URL encoding in python", "cmd": "urllib.parse.quote_plus('a b')", "question_id": "8905864-78", "cmd_name": "conala", "oracle_man": ["python.library.urllib.parse#urllib.parse.quote_plus"], "canonical_cmd": "urllib.parse.quote_plus('a b')"}
+{"nl": "Get sum of values of columns  'Y1961', 'Y1962', 'Y1963' after group by on columns \"Country\" and \"Item_code\" in dataframe `df`.", "cmd": "df.groupby(['Country', 'Item_Code'])[['Y1961', 'Y1962', 'Y1963']].sum()", "question_id": "32751229-20", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.groupby", "python.library.functions#sum"], "canonical_cmd": "VAR_STR.groupby(['VAR_STR', 'Item_Code'])[['VAR_STR', 'VAR_STR', 'VAR_STR']].sum()"}
+{"nl": "get the number of values in list `j` that is greater than 5", "cmd": "sum(((i > 5) for i in j))", "question_id": "10543303-64", "cmd_name": "conala", "oracle_man": ["python.library.functions#sum"], "canonical_cmd": "sum(i > 5 for i in VAR_STR)"}
+{"nl": "get the number of values in list `j` that is greater than 5", "cmd": "len([1 for i in j if (i > 5)])", "question_id": "10543303-81", "cmd_name": "conala", "oracle_man": ["python.library.functions#len"], "canonical_cmd": "len([(1) for i in VAR_STR if i > 5])"}
+{"nl": "get the number of values in list `j` that is greater than `i`", "cmd": "j = np.array(j)\nsum((j > i))", "question_id": "10543303-37", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.array", "python.library.functions#sum"], "canonical_cmd": "VAR_STR = np.array(VAR_STR)\nsum(VAR_STR > VAR_STR)"}
+{"nl": "check if a numpy array `a1` contains any element of another array `a2`", "cmd": "np.any(np.in1d(a1, a2))", "question_id": "36190533-1", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.in1d", "numpy.reference.generated.numpy.any"], "canonical_cmd": "np.any(np.in1d(VAR_STR, VAR_STR))"}
+{"nl": "clamping floating number `my_value` to be between `min_value` and `max_value`", "cmd": "max(min(my_value, max_value), min_value)", "question_id": "9775731-24", "cmd_name": "conala", "oracle_man": ["python.library.functions#min", "python.library.functions#max"], "canonical_cmd": "max(min(VAR_STR, VAR_STR), VAR_STR)"}
+{"nl": "get all combination of n binary values", "cmd": "lst = list(itertools.product([0, 1], repeat=n))", "question_id": "14931769-56", "cmd_name": "conala", "oracle_man": ["python.library.itertools#itertools.product", "python.library.functions#list"], "canonical_cmd": "lst = list(itertools.product([0, 1], repeat=n))"}
+{"nl": "get all combination of n binary values", "cmd": "lst = map(list, itertools.product([0, 1], repeat=n))", "question_id": "14931769-64", "cmd_name": "conala", "oracle_man": ["python.library.itertools#itertools.product", "python.library.functions#map"], "canonical_cmd": "lst = map(list, itertools.product([0, 1], repeat=n))"}
+{"nl": "get all combination of 3 binary values", "cmd": "bin = [0, 1]\n[(x, y, z) for x in bin for y in bin for z in bin]", "question_id": "14931769-0", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "bin = [0, 1]\n[(x, y, z) for x in bin for y in bin for z in bin]"}
+{"nl": "get all combination of 3 binary values", "cmd": "lst = list(itertools.product([0, 1], repeat=3))", "question_id": "14931769-1", "cmd_name": "conala", "oracle_man": ["python.library.itertools#itertools.product", "python.library.functions#list"], "canonical_cmd": "lst = list(itertools.product([0, 1], repeat=3))"}
+{"nl": "add one day and three hours to the present time from datetime.now()", "cmd": "datetime.datetime.now() + datetime.timedelta(days=1, hours=3)", "question_id": "6310475-49", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now", "python.library.datetime#datetime.timedelta"], "canonical_cmd": "datetime.datetime.now() + datetime.timedelta(days=1, hours=3)"}
+{"nl": "unpack the binary data represented by the hexadecimal string '4081637ef7d0424a' to a float", "cmd": "struct.unpack('d', binascii.unhexlify('4081637ef7d0424a'))", "question_id": "38831808-53", "cmd_name": "conala", "oracle_man": ["python.library.binascii#binascii.unhexlify", "python.library.struct#struct.unpack"], "canonical_cmd": "struct.unpack('d', binascii.unhexlify('VAR_STR'))"}
+{"nl": "add a colorbar to plot `plt` using image `im` on axes `ax`", "cmd": "plt.colorbar(im, ax=ax)", "question_id": "42387471-14", "cmd_name": "conala", "oracle_man": ["matplotlib.colorbar_api#matplotlib.colorbar.Colorbar"], "canonical_cmd": "VAR_STR.colorbar(VAR_STR, VAR_STR=VAR_STR)"}
+{"nl": "remove first and last lines of string `s`", "cmd": "s[s.find('\\n') + 1:s.rfind('\\n')]", "question_id": "28134319-7", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.rfind", "python.library.stdtypes#str.find"], "canonical_cmd": "VAR_STR[VAR_STR.find('\\n') + 1:VAR_STR.rfind('\\n')]"}
+{"nl": "From multiIndexed dataframe `data` select columns `a` and `c` within each higher order column `one` and `two`", "cmd": "data.loc[:, (list(itertools.product(['one', 'two'], ['a', 'c'])))]", "question_id": "18470323-13", "cmd_name": "conala", "oracle_man": ["python.library.itertools#itertools.product", "python.library.functions#list", "pandas.reference.api.pandas.dataframe.loc"], "canonical_cmd": "VAR_STR.loc[:, (list(itertools.product(['VAR_STR', 'VAR_STR'], ['VAR_STR', 'VAR_STR'])))]"}
+{"nl": "select only specific columns 'a' and 'c' from a dataframe 'data' with multiindex columns", "cmd": "data.loc[:, ([('one', 'a'), ('one', 'c'), ('two', 'a'), ('two', 'c')])]", "question_id": "18470323-91", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.loc"], "canonical_cmd": "VAR_STR.loc[:, ([('one', 'VAR_STR'), ('one', 'VAR_STR'), ('two', 'VAR_STR'), ('two',\n    'VAR_STR')])]"}
+{"nl": "filter `Users` by field `userprofile` with level greater than or equal to `0`", "cmd": "User.objects.filter(userprofile__level__gte=0)", "question_id": "10040143-71", "cmd_name": "conala", "oracle_man": ["python.library.logging#logging.Filter.filter"], "canonical_cmd": "User.objects.filter(userprofile__level__gte=0)"}
+{"nl": "make a list of lists in which each list `g` are the elements from list `test` which have the same characters up to the first `_` character", "cmd": "[list(g) for _, g in itertools.groupby(test, lambda x: x.split('_')[0])]", "question_id": "27659153-69", "cmd_name": "conala", "oracle_man": ["python.library.itertools#itertools.groupby", "python.library.functions#list", "python.library.stdtypes#str.split"], "canonical_cmd": "[list(VAR_STR) for VAR_STR, VAR_STR in itertools.groupby(VAR_STR, lambda x: x.split\n    ('VAR_STR')[0])]"}
+{"nl": "How to group similar items in a list?", "cmd": "[list(g) for _, g in itertools.groupby(test, lambda x: x.partition('_')[0])]", "question_id": "27659153-76", "cmd_name": "conala", "oracle_man": ["python.library.itertools#itertools.groupby", "python.library.functions#list", "python.library.stdtypes#str.partition"], "canonical_cmd": "[list(g) for _, g in itertools.groupby(test, lambda x: x.partition('_')[0])]"}
+{"nl": "django get the value of key 'title' from POST request `request` if exists, else return empty string ''", "cmd": "request.POST.get('title', '')", "question_id": "11336548-53", "cmd_name": "conala", "oracle_man": ["python.library.webbrowser#webbrowser.get"], "canonical_cmd": "VAR_STR.POST.get('VAR_STR', 'VAR_STR')"}
+{"nl": "List comprehension with an accumulator in range of 10", "cmd": "list(accumulate(list(range(10))))", "question_id": "20222485-17", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.functions#range"], "canonical_cmd": "list(accumulate(list(range(10))))"}
+{"nl": "Create a default empty json object if no json is available in request parameter `mydata`", "cmd": "json.loads(request.POST.get('mydata', '{}'))", "question_id": "16436133-47", "cmd_name": "conala", "oracle_man": ["python.library.json#json.loads", "python.library.webbrowser#webbrowser.get"], "canonical_cmd": "json.loads(request.POST.get('VAR_STR', '{}'))"}
+{"nl": "get the largest index of the last occurrence of characters '([{' in string `test_string`", "cmd": "max(test_string.rfind(i) for i in '([{')", "question_id": "31950612-15", "cmd_name": "conala", "oracle_man": ["python.library.functions#max", "python.library.stdtypes#str.rfind"], "canonical_cmd": "max(VAR_STR.rfind(i) for i in 'VAR_STR')"}
+{"nl": "get all characters in string 'foobar' up to the fourth index", "cmd": "\"\"\"foobar\"\"\"[:4]", "question_id": "8247792-19", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "\"\"\"VAR_STR\"\"\"[:4]"}
+{"nl": "cut a string by delimiter '&'", "cmd": "s.rfind('&')", "question_id": "8247792-29", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.rfind"], "canonical_cmd": "s.rfind('VAR_STR')"}
+{"nl": "cut a string using delimiter '&'", "cmd": "s[:s.rfind('&')]", "question_id": "8247792-90", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.rfind"], "canonical_cmd": "s[:s.rfind('VAR_STR')]"}
+{"nl": "count unique index values in column 'A' in pandas dataframe `ex`", "cmd": "ex.groupby(level='A').agg(lambda x: x.index.get_level_values(1).nunique())", "question_id": "35178812-30", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.index.get_level_values", "pandas.reference.api.pandas.index.nunique", "pandas.reference.api.pandas.index.groupby", "pandas.reference.api.pandas.series.agg"], "canonical_cmd": "VAR_STR.groupby(level='VAR_STR').agg(lambda x: x.index.get_level_values(1).\n    nunique())"}
+{"nl": "List of lists into numpy array", "cmd": "numpy.array([[1, 2], [3, 4]])", "question_id": "10346336-28", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.array"], "canonical_cmd": "numpy.array([[1, 2], [3, 4]])"}
+{"nl": "Create a tuple `t` containing first element of each tuple in tuple `s`", "cmd": "t = tuple(x[0] for x in s)", "question_id": "2054416-71", "cmd_name": "conala", "oracle_man": ["python.library.functions#tuple"], "canonical_cmd": "VAR_STR = tuple(x[0] for x in VAR_STR)"}
+{"nl": "BeautifulSoup get value associated with attribute 'content' where attribute 'name' is equal to 'City' in tag 'meta' in HTML parsed string `soup`", "cmd": "soup.find('meta', {'name': 'City'})['content']", "question_id": "11205386-94", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "VAR_STR.find('VAR_STR', {'VAR_STR': 'VAR_STR'})['VAR_STR']"}
+{"nl": "pivot dataframe `df` so that values for `upc` become column headings and values for `saleid` become the index", "cmd": "df.pivot_table(index='saleid', columns='upc', aggfunc='size', fill_value=0)", "question_id": "39353758-58", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.pivot_table"], "canonical_cmd": "VAR_STR.pivot_table(index='VAR_STR', columns='VAR_STR', aggfunc='size', fill_value=0)"}
+{"nl": "changing permission of file `path` to `stat.S_IRUSR | stat.S_IRGRP | stat.S_IROTH`", "cmd": "os.chmod(path, stat.S_IRUSR | stat.S_IRGRP | stat.S_IROTH)", "question_id": "16249440-75", "cmd_name": "conala", "oracle_man": ["python.library.os#os.chmod"], "canonical_cmd": "os.chmod(VAR_STR, stat.S_IRUSR | stat.S_IRGRP | stat.S_IROTH)"}
+{"nl": "write dataframe `df` to csv file `filename` with dates formatted as yearmonthday  `%Y%m%d`", "cmd": "df.to_csv(filename, date_format='%Y%m%d')", "question_id": "13999850-72", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.to_csv"], "canonical_cmd": "VAR_STR.to_csv(VAR_STR, date_format='VAR_STR')"}
+{"nl": "replace NaN values in array `a` with zeros", "cmd": "b = np.where(np.isnan(a), 0, a)", "question_id": "1800187-72", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.isnan", "numpy.reference.generated.numpy.where"], "canonical_cmd": "b = np.where(np.isnan(VAR_STR), 0, VAR_STR)"}
+{"nl": "get a numpy array that contains the element wise minimum of three 3x1 arrays", "cmd": "np.array([np.arange(3), np.arange(2, -1, -1), np.ones((3,))]).min(axis=0)", "question_id": "39277638-98", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.arange", "numpy.reference.generated.numpy.ones", "numpy.reference.generated.numpy.array", "python.library.functions#min"], "canonical_cmd": "np.array([np.arange(3), np.arange(2, -1, -1), np.ones((3,))]).min(axis=0)"}
+{"nl": "obtain the current day of the week in a 3 letter format from a datetime object", "cmd": "datetime.datetime.now().strftime('%a')", "question_id": "15509617-37", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now", "python.library.datetime#datetime.datetime.strftime"], "canonical_cmd": "datetime.datetime.now().strftime('%a')"}
+{"nl": "dictionary `d` to string, custom format", "cmd": "\"\"\"<br/>\"\"\".join([('%s:: %s' % (key, value)) for key, value in list(d.items())])", "question_id": "8519599-86", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#dict.items", "python.library.stdtypes#str.join"], "canonical_cmd": "\"\"\"<br/>\"\"\".join([('%s:: %s' % (key, value)) for key, value in list(VAR_STR.\n    items())])"}
+{"nl": "select rows of dataframe `df` whose value for column `A` is `foo`", "cmd": "print(df.loc[df['A'] == 'foo'])", "question_id": "17071871-46", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.loc"], "canonical_cmd": "print(VAR_STR.loc[VAR_STR['VAR_STR'] == 'VAR_STR'])"}
+{"nl": "select rows whose column value in column `column_name` does not equal `some_value` in pandas data frame", "cmd": "df.loc[df['column_name'] != some_value]", "question_id": "17071871-76", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.loc"], "canonical_cmd": "df.loc[df['VAR_STR'] != VAR_STR]"}
+{"nl": "select rows from a dataframe `df` whose value for column `column_name` is not in `some_values`", "cmd": "df.loc[~df['column_name'].isin(some_values)]", "question_id": "17071871-51", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.loc", "pandas.reference.api.pandas.dataframe.isin"], "canonical_cmd": "VAR_STR.loc[~VAR_STR['VAR_STR'].isin(VAR_STR)]"}
+{"nl": "select all rows whose values in a column `column_name` equals a scalar `some_value` in pandas data frame object `df`", "cmd": "df.loc[df['column_name'] == some_value]", "question_id": "17071871-83", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.loc"], "canonical_cmd": "VAR_STR.loc[VAR_STR['VAR_STR'] == VAR_STR]"}
+{"nl": "Select rows whose value of the \"B\" column is \"one\" or \"three\" in the DataFrame `df`", "cmd": "print(df.loc[df['B'].isin(['one', 'three'])])", "question_id": "17071871-79", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.loc", "pandas.reference.api.pandas.dataframe.isin"], "canonical_cmd": "print(VAR_STR.loc[VAR_STR['VAR_STR'].isin(['VAR_STR', 'VAR_STR'])])"}
+{"nl": "get a list of locally installed Python modules", "cmd": "help('modules')", "question_id": "739993-25", "cmd_name": "conala", "oracle_man": ["python.library.functions#help"], "canonical_cmd": "help('modules')"}
+{"nl": "Enable the SO_REUSEADDR socket option in socket object `s` to fix the error `only one usage of each socket address is normally permitted`", "cmd": "s.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)", "question_id": "12362542-44", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)"}
+{"nl": "import all classes from module `some.package`", "cmd": "globals().update(importlib.import_module('some.package').__dict__)", "question_id": "4116061-59", "cmd_name": "conala", "oracle_man": ["python.library.importlib#importlib.import_module", "python.library.functions#globals", "python.library.turtle#turtle.update"], "canonical_cmd": "globals().update(importlib.import_module('VAR_STR').__dict__)"}
+{"nl": "Find indices of elements equal to zero from numpy array `x`", "cmd": "numpy.where((x == 0))[0]", "question_id": "4588628-92", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.where"], "canonical_cmd": "numpy.where(VAR_STR == 0)[0]"}
+{"nl": "create a json response `response_data`", "cmd": "return HttpResponse(json.dumps(response_data), content_type='application/json')", "question_id": "2428092-52", "cmd_name": "conala", "oracle_man": ["python.library.json#json.dumps"], "canonical_cmd": "return HttpResponse(json.dumps(VAR_STR), content_type='application/json')"}
+{"nl": "Convert a string `s` containing hex bytes to a hex string", "cmd": "s.decode('hex')", "question_id": "10824319-17", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#bytearray.decode"], "canonical_cmd": "VAR_STR.decode('hex')"}
+{"nl": "convert a string `s` containing hex bytes to a hex string", "cmd": "binascii.a2b_hex(s)", "question_id": "10824319-49", "cmd_name": "conala", "oracle_man": ["python.library.binascii#binascii.a2b_hex"], "canonical_cmd": "binascii.a2b_hex(VAR_STR)"}
+{"nl": "zip list `a`, `b`, `c` into a list of tuples", "cmd": "[(x + tuple(y)) for x, y in zip(zip(a, b), c)]", "question_id": "12655007-87", "cmd_name": "conala", "oracle_man": ["python.library.functions#zip", "python.library.functions#tuple"], "canonical_cmd": "[(x + tuple(y)) for x, y in zip(zip(VAR_STR, VAR_STR), VAR_STR)]"}
+{"nl": "convert dictionary `adict` into string", "cmd": "\"\"\"\"\"\".join('{}{}'.format(key, val) for key, val in sorted(adict.items()))", "question_id": "10472907-88", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.functions#format", "python.library.stdtypes#dict.items", "python.library.stdtypes#str.join"], "canonical_cmd": "\"\"\"\"\"\".join('{}{}'.format(key, val) for key, val in sorted(VAR_STR.items()))"}
+{"nl": "convert dictionary `adict` into string", "cmd": "\"\"\"\"\"\".join('{}{}'.format(key, val) for key, val in list(adict.items()))", "question_id": "10472907-5", "cmd_name": "conala", "oracle_man": ["python.library.functions#format", "python.library.functions#list", "python.library.stdtypes#dict.items", "python.library.stdtypes#str.join"], "canonical_cmd": "\"\"\"\"\"\".join('{}{}'.format(key, val) for key, val in list(VAR_STR.items()))"}
+{"nl": "convert matlab engine array `x` to a numpy ndarray", "cmd": "np.array(x._data).reshape(x.size[::-1]).T", "question_id": "34155829-56", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.array", "numpy.reference.generated.numpy.reshape"], "canonical_cmd": "np.array(VAR_STR._data).reshape(VAR_STR.size[::-1]).T"}
+{"nl": "Convert list of booleans `walls` into a hex string", "cmd": "hex(int(''.join([str(int(b)) for b in walls]), 2))", "question_id": "17731822-88", "cmd_name": "conala", "oracle_man": ["python.library.functions#int", "python.library.functions#hex", "python.library.stdtypes#str", "python.library.stdtypes#str.join"], "canonical_cmd": "hex(int(''.join([str(int(b)) for b in VAR_STR]), 2))"}
+{"nl": "convert the sum of list `walls` into a hex presentation", "cmd": "hex(sum(b << i for i, b in enumerate(reversed(walls))))", "question_id": "17731822-21", "cmd_name": "conala", "oracle_man": ["python.library.functions#enumerate", "python.library.functions#reversed", "python.library.functions#hex", "python.library.functions#sum"], "canonical_cmd": "hex(sum(b << i for i, b in enumerate(reversed(VAR_STR))))"}
+{"nl": "set the current working directory to 'c:\\\\Users\\\\uname\\\\desktop\\\\python'", "cmd": "os.chdir('c:\\\\Users\\\\uname\\\\desktop\\\\python')", "question_id": "1810743-81", "cmd_name": "conala", "oracle_man": ["python.library.os#os.chdir"], "canonical_cmd": "os.chdir('VAR_STR')"}
+{"nl": "set the current working directory to path `path`", "cmd": "os.chdir(path)", "question_id": "1810743-84", "cmd_name": "conala", "oracle_man": ["python.library.os#os.chdir"], "canonical_cmd": "os.chdir(VAR_STR)"}
+{"nl": "Check the status code of url \"http://www.stackoverflow.com\"", "cmd": "urllib.request.urlopen('http://www.stackoverflow.com').getcode()", "question_id": "1949318-13", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#urllib.request.urlopen"], "canonical_cmd": "urllib.request.urlopen('VAR_STR').getcode()"}
+{"nl": "Check the status code of url \"www.python.org\"", "cmd": "conn = httplib.HTTPConnection('www.python.org')\nconn.request('HEAD', '/')\nr1 = conn.getresponse()\nprint(r1.status, r1.reason)", "question_id": "1949318-62", "cmd_name": "conala", "oracle_man": ["python.library.http.client#http.client.HTTPConnection.getresponse", "python.library.http.client#http.client.HTTPConnection.request", "python.library.http.client#http.client.HTTPConnection"], "canonical_cmd": "conn = httplib.HTTPConnection('VAR_STR')\nconn.request('HEAD', '/')\nr1 = conn.getresponse()\nprint(r1.status, r1.reason)"}
+{"nl": "Check the status code of url `url`", "cmd": "r = requests.head(url)\nreturn (r.status_code == 200)", "question_id": "1949318-89", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.head"], "canonical_cmd": "r = requests.head(VAR_STR)\nreturn r.status_code == 200"}
+{"nl": "Checking if website \"http://www.stackoverflow.com\" is up", "cmd": "print(urllib.request.urlopen('http://www.stackoverflow.com').getcode())", "question_id": "1949318-26", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#urllib.request.urlopen"], "canonical_cmd": "print(urllib.request.urlopen('VAR_STR').getcode())"}
+{"nl": "rename column 'gdp' in dataframe `data` to 'log(gdp)'", "cmd": "data.rename(columns={'gdp': 'log(gdp)'}, inplace=True)", "question_id": "19758364-39", "cmd_name": "conala", "oracle_man": ["python.library.os#os.rename"], "canonical_cmd": "VAR_STR.rename(columns={'VAR_STR': 'VAR_STR'}, inplace=True)"}
+{"nl": "commit all the changes after executing a query.", "cmd": "dbb.commit()", "question_id": "15271907-69", "cmd_name": "conala", "oracle_man": ["python.library.msilib#msilib.CAB.commit"], "canonical_cmd": "dbb.commit()"}
+{"nl": "best way to extract subset of key-value pairs with keys matching 'l', 'm', or 'n' from python dictionary object", "cmd": "{k: bigdict[k] for k in list(bigdict.keys()) & {'l', 'm', 'n'}}", "question_id": "5352546-44", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#dict.keys"], "canonical_cmd": "{k: bigdict[k] for k in list(bigdict.keys()) & {'VAR_STR', 'VAR_STR', 'VAR_STR'}}"}
+{"nl": "extract subset of key-value pairs with keys as `('l', 'm', 'n')` from dictionary object `bigdict`", "cmd": "dict((k, bigdict[k]) for k in ('l', 'm', 'n'))", "question_id": "5352546-80", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#dict"], "canonical_cmd": "dict((k, VAR_STR[k]) for k in (VAR_STR))"}
+{"nl": "Get items from a dictionary `bigdict` where the keys are present in `('l', 'm', 'n')`", "cmd": "{k: bigdict.get(k, None) for k in ('l', 'm', 'n')}", "question_id": "5352546-22", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#dict.get"], "canonical_cmd": "{k: VAR_STR.get(k, None) for k in (VAR_STR)}"}
+{"nl": "Extract subset of key value pair for keys 'l', 'm', 'n' from `bigdict` in python 3", "cmd": "{k: bigdict[k] for k in ('l', 'm', 'n')}", "question_id": "5352546-75", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "{k: VAR_STR[k] for k in ('VAR_STR', 'VAR_STR', 'VAR_STR')}"}
+{"nl": "decode JSON string `u` to a dictionary", "cmd": "json.load(u)", "question_id": "2331943-5", "cmd_name": "conala", "oracle_man": ["python.library.json#json.load"], "canonical_cmd": "json.load(VAR_STR)"}
+{"nl": "Search for string 'blabla' in txt file 'example.txt'", "cmd": "if ('blabla' in open('example.txt').read()):\n    pass", "question_id": "4940032-13", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open", "python.library.os#os.read"], "canonical_cmd": "if 'VAR_STR' in open('VAR_STR').read():\n    pass"}
+{"nl": "Search for string 'blabla' in txt file 'example.txt'", "cmd": "f = open('example.txt')\ns = mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ)\nif (s.find('blabla') != (-1)):\n    pass", "question_id": "4940032-15", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open", "python.library.mmap#mmap.mmap.find", "python.library.fileinput#fileinput.fileno"], "canonical_cmd": "f = open('VAR_STR')\ns = mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ)\nif s.find('VAR_STR') != -1:\n    pass"}
+{"nl": "Search for string `blabla` in txt file 'example.txt'", "cmd": "datafile = file('example.txt')\nfound = False\nfor line in datafile:\n    if (blabla in line):\n        return True\nreturn False", "question_id": "4940032-22", "cmd_name": "conala", "oracle_man": ["django.ref.files.file#django.core.files.File.file"], "canonical_cmd": "datafile = file('VAR_STR')\nfound = False\nfor line in datafile:\n    if VAR_STR in line:\n        return True\nreturn False"}
+{"nl": "request http url `url`", "cmd": "r = requests.get(url)", "question_id": "4476373-46", "cmd_name": "conala", "oracle_man": ["python.library.webbrowser#webbrowser.get"], "canonical_cmd": "r = requests.get(VAR_STR)"}
+{"nl": "request http url `url` with parameters `payload`", "cmd": "r = requests.get(url, params=payload)", "question_id": "4476373-22", "cmd_name": "conala", "oracle_man": ["python.library.webbrowser#webbrowser.get"], "canonical_cmd": "r = requests.get(VAR_STR, params=VAR_STR)"}
+{"nl": "post request url `url` with parameters `payload`", "cmd": "r = requests.post(url, data=payload)", "question_id": "4476373-71", "cmd_name": "conala", "oracle_man": ["pygame.ref.fastevent#pygame.fastevent.post"], "canonical_cmd": "r = requests.post(VAR_STR, data=VAR_STR)"}
+{"nl": "make an HTTP post request with data `post_data`", "cmd": "post_response = requests.post(url='http://httpbin.org/post', json=post_data)", "question_id": "4476373-99", "cmd_name": "conala", "oracle_man": ["pygame.ref.fastevent#pygame.fastevent.post"], "canonical_cmd": "post_response = requests.post(url='http://httpbin.org/post', json=VAR_STR)"}
+{"nl": "convert 173 to binary string", "cmd": "bin(173)", "question_id": "1476-16", "cmd_name": "conala", "oracle_man": ["python.library.functions#bin"], "canonical_cmd": "bin(173)"}
+{"nl": "convert binary string '01010101111' to integer", "cmd": "int('01010101111', 2)", "question_id": "1476-88", "cmd_name": "conala", "oracle_man": ["python.library.functions#int"], "canonical_cmd": "int('VAR_STR', 2)"}
+{"nl": "convert binary string '010101' to integer", "cmd": "int('010101', 2)", "question_id": "1476-71", "cmd_name": "conala", "oracle_man": ["python.library.functions#int"], "canonical_cmd": "int('VAR_STR', 2)"}
+{"nl": "convert binary string '0b0010101010' to integer", "cmd": "int('0b0010101010', 2)", "question_id": "1476-39", "cmd_name": "conala", "oracle_man": ["python.library.functions#int"], "canonical_cmd": "int('VAR_STR', 2)"}
+{"nl": "convert 21 to binary string", "cmd": "bin(21)", "question_id": "1476-6", "cmd_name": "conala", "oracle_man": ["python.library.functions#bin"], "canonical_cmd": "bin(21)"}
+{"nl": "convert binary string '11111111' to integer", "cmd": "int('11111111', 2)", "question_id": "1476-59", "cmd_name": "conala", "oracle_man": ["python.library.functions#int"], "canonical_cmd": "int('VAR_STR', 2)"}
+{"nl": "get proportion of rows in dataframe `trace_df` whose values for column `ratio` are greater than 0", "cmd": "(trace_df['ratio'] > 0).mean()", "question_id": "41178532-76", "cmd_name": "conala", "oracle_man": ["python.library.statistics#statistics.mean"], "canonical_cmd": "(VAR_STR['VAR_STR'] > 0).mean()"}
+{"nl": "get all possible combination of items from 2-dimensional list `a`", "cmd": "list(itertools.product(*a))", "question_id": "8249836-41", "cmd_name": "conala", "oracle_man": ["python.library.itertools#itertools.product", "python.library.functions#list"], "canonical_cmd": "list(itertools.product(*VAR_STR))"}
+{"nl": "iterate over a dictionary `d` in sorted order", "cmd": "it = iter(sorted(d.items()))", "question_id": "364519-94", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.functions#iter", "python.library.stdtypes#dict.items"], "canonical_cmd": "it = iter(sorted(VAR_STR.items()))"}
+{"nl": "iterate over a dictionary `d` in sorted order", "cmd": "for (key, value) in sorted(d.items()):\n    pass", "question_id": "364519-100", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.stdtypes#dict.items"], "canonical_cmd": "for key, value in sorted(VAR_STR.items()):\n    pass"}
+{"nl": "iterate over a dictionary `dict` in sorted order", "cmd": "return sorted(dict.items())", "question_id": "364519-2", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#dict.items", "python.library.functions#sorted"], "canonical_cmd": "return sorted(VAR_STR.items())"}
+{"nl": "iterate over a dictionary `dict` in sorted order", "cmd": "return iter(sorted(dict.items()))", "question_id": "364519-33", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#dict.items", "python.library.functions#sorted", "python.library.functions#iter"], "canonical_cmd": "return iter(sorted(VAR_STR.items()))"}
+{"nl": "iterate over a dictionary `foo` in sorted order", "cmd": "for (k, v) in sorted(foo.items()):\n    pass", "question_id": "364519-52", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.stdtypes#dict.items"], "canonical_cmd": "for k, v in sorted(VAR_STR.items()):\n    pass"}
+{"nl": "iterate over a dictionary `foo` sorted by the key", "cmd": "for k in sorted(foo.keys()):\n    pass", "question_id": "364519-98", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.stdtypes#dict.keys"], "canonical_cmd": "for k in sorted(VAR_STR.keys()):\n    pass"}
+{"nl": "lower-case the string obtained by replacing the occurrences of regex pattern '(?<=[a-z])([A-Z])' in string `s` with eplacement '-\\\\1'", "cmd": "re.sub('(?<=[a-z])([A-Z])', '-\\\\1', s).lower()", "question_id": "39414085-16", "cmd_name": "conala", "oracle_man": ["python.library.re#re.sub", "python.library.stdtypes#str.lower"], "canonical_cmd": "re.sub('VAR_STR', 'VAR_STR', VAR_STR).lower()"}
+{"nl": "convert a tensor with list of constants `[1, 2, 3]` into a numpy array in tensorflow", "cmd": "print(type(tf.Session().run(tf.constant([1, 2, 3]))))", "question_id": "34097281-53", "cmd_name": "conala", "oracle_man": ["python.library.functions#type", "python.library.ast#ast.Constant", "flask.api.index#flask.session", "python.library.pdb#pdb.run"], "canonical_cmd": "print(type(tf.Session().run(tf.constant([VAR_STR]))))"}
+{"nl": "Initialize a pandas series object `s` with columns `['A', 'B', 'A1R', 'B2', 'AABB4']`", "cmd": "s = pd.Series(['A', 'B', 'A1R', 'B2', 'AABB4'])", "question_id": "39816795-71", "cmd_name": "conala", "oracle_man": ["pandas.reference.series"], "canonical_cmd": "VAR_STR = pd.Series([VAR_STR])"}
+{"nl": "get set intersection between dictionaries `d1` and `d2`", "cmd": "dict((x, set(y) & set(d1.get(x, ()))) for x, y in d2.items())", "question_id": "638360-2", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#set", "python.library.stdtypes#dict", "python.library.stdtypes#dict.items", "python.library.stdtypes#dict.get"], "canonical_cmd": "dict((x, set(y) & set(VAR_STR.get(x, ()))) for x, y in VAR_STR.items())"}
+{"nl": "construct pandas dataframe from a list of tuples", "cmd": "df = pandas.DataFrame(data, columns=['R_Number', 'C_Number', 'Avg', 'Std'])", "question_id": "19961490-16", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe"], "canonical_cmd": "df = pandas.DataFrame(data, columns=['R_Number', 'C_Number', 'Avg', 'Std'])"}
+{"nl": "converting dictionary `d` into a dataframe `pd` with keys as data for column 'Date' and the corresponding values as data for column 'DateValue'", "cmd": "pd.DataFrame(list(d.items()), columns=['Date', 'DateValue'])", "question_id": "18837262-55", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe", "python.library.functions#list", "pandas.reference.api.pandas.dataframe.items"], "canonical_cmd": "VAR_STR.DataFrame(list(VAR_STR.items()), columns=['VAR_STR', 'VAR_STR'])"}
+{"nl": "generate a random number in 1 to 7 with a given distribution [0.1, 0.05, 0.05, 0.2, 0.4, 0.2]", "cmd": "numpy.random.choice(numpy.arange(1, 7), p=[0.1, 0.05, 0.05, 0.2, 0.4, 0.2])", "question_id": "4265988-26", "cmd_name": "conala", "oracle_man": ["numpy.reference.random.generated.numpy.random.choice", "numpy.reference.generated.numpy.arange"], "canonical_cmd": "numpy.random.choice(numpy.arange(1, 7), p=[0.1, 0.05, 0.05, 0.2, 0.4, 0.2])"}
+{"nl": "Convert dataframe `df` to a pivot table using column 'year', 'month', and 'item' as indexes", "cmd": "df.set_index(['year', 'month', 'item']).unstack(level=-1)", "question_id": "35414625-11", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.set_index", "pandas.reference.api.pandas.dataframe.unstack"], "canonical_cmd": "VAR_STR.set_index(['VAR_STR', 'VAR_STR', 'VAR_STR']).unstack(level=-1)"}
+{"nl": "run a pivot with a multi-index `year` and `month` in a pandas data frame", "cmd": "df.pivot_table(values='value', index=['year', 'month'], columns='item')", "question_id": "35414625-17", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.pivot_table"], "canonical_cmd": "df.pivot_table(values='value', index=['VAR_STR', 'VAR_STR'], columns='item')"}
+{"nl": "get output from process `p1`", "cmd": "p1.communicate()[0]", "question_id": "748028-31", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.Popen.communicate"], "canonical_cmd": "VAR_STR.communicate()[0]"}
+{"nl": "How to get output of exe in python script?", "cmd": "output = subprocess.Popen(['mycmd', 'myarg'], stdout=PIPE).communicate()[0]", "question_id": "748028-100", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.Popen", "python.library.subprocess#subprocess.Popen.communicate"], "canonical_cmd": "output = subprocess.Popen(['mycmd', 'myarg'], stdout=PIPE).communicate()[0]"}
+{"nl": "get all sub-elements of an element `a` in an elementtree", "cmd": "[elem.tag for elem in a.iter()]", "question_id": "10408927-95", "cmd_name": "conala", "oracle_man": ["python.library.functions#iter"], "canonical_cmd": "[elem.tag for elem in VAR_STR.iter()]"}
+{"nl": "get all sub-elements of an element tree `a` excluding the root element", "cmd": "[elem.tag for elem in a.iter() if elem is not a]", "question_id": "10408927-56", "cmd_name": "conala", "oracle_man": ["python.library.functions#iter"], "canonical_cmd": "[elem.tag for elem in VAR_STR.iter() if elem is not VAR_STR]"}
+{"nl": "get the next value greatest to `2` from a list of numbers `num_list`", "cmd": "min([x for x in num_list if x > 2])", "question_id": "29471884-33", "cmd_name": "conala", "oracle_man": ["python.library.functions#min"], "canonical_cmd": "min([x for x in VAR_STR if x > 2])"}
+{"nl": "remove item \"b\" in list `a`", "cmd": "a.remove('b')", "question_id": "2793324-81", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#frozenset.remove"], "canonical_cmd": "VAR_STR.remove('VAR_STR')"}
+{"nl": "remove item `c` in list `a`", "cmd": "a.remove(c)", "question_id": "2793324-12", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#frozenset.remove"], "canonical_cmd": "VAR_STR.remove(VAR_STR)"}
+{"nl": "delete the element 6 from list `a`", "cmd": "a.remove(6)", "question_id": "2793324-93", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#frozenset.remove"], "canonical_cmd": "VAR_STR.remove(6)"}
+{"nl": "delete the element 6 from list `a`", "cmd": "a.remove(6)", "question_id": "2793324-3", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#frozenset.remove"], "canonical_cmd": "VAR_STR.remove(6)"}
+{"nl": "delete the element `c` from list `a`", "cmd": "if (c in a):\n    a.remove(c)", "question_id": "2793324-97", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#frozenset.remove"], "canonical_cmd": "if VAR_STR in VAR_STR:\n    VAR_STR.remove(VAR_STR)"}
+{"nl": "delete the element `c` from list `a`", "cmd": "try:\n    a.remove(c)\nexcept ValueError:\n    pass", "question_id": "2793324-5", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#frozenset.remove"], "canonical_cmd": "try:\n    VAR_STR.remove(VAR_STR)\nexcept ValueError:\n    pass"}
+{"nl": "call a function `otherfunc` inside a bash script `test.sh` using subprocess", "cmd": "subprocess.call('test.sh otherfunc')", "question_id": "5826427-6", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.call"], "canonical_cmd": "subprocess.call('test.sh otherfunc')"}
+{"nl": "Can a python script execute a function inside a bash script?", "cmd": "subprocess.Popen(['bash', '-c', '. foo.sh; go'])", "question_id": "5826427-73", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.Popen"], "canonical_cmd": "subprocess.Popen(['bash', '-c', '. foo.sh; go'])"}
+{"nl": "write pandas dataframe `df` to the file 'c:\\\\data\\\\t.csv' without row names", "cmd": "df.to_csv('c:\\\\data\\\\t.csv', index=False)", "question_id": "30605909-89", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.to_csv"], "canonical_cmd": "VAR_STR.to_csv('VAR_STR', index=False)"}
+{"nl": "match regex pattern '(\\\\d+(\\\\.\\\\d+)?)' with string '3434.35353'", "cmd": "print(re.match('(\\\\d+(\\\\.\\\\d+)?)', '3434.35353').group(1))", "question_id": "9891814-38", "cmd_name": "conala", "oracle_man": ["python.library.re#re.match", "python.library.re#re.Match.group"], "canonical_cmd": "print(re.match('VAR_STR', 'VAR_STR').group(1))"}
+{"nl": "filter the objects in django model 'Sample' between date range `2011-01-01` and `2011-01-31`", "cmd": "Sample.objects.filter(date__range=['2011-01-01', '2011-01-31'])", "question_id": "4668619-32", "cmd_name": "conala", "oracle_man": ["python.library.logging#logging.Filter.filter"], "canonical_cmd": "VAR_STR.objects.filter(date__range=['VAR_STR', 'VAR_STR'])"}
+{"nl": "filter objects month wise in django model `Sample` for year `2011`", "cmd": "Sample.objects.filter(date__year='2011', date__month='01')", "question_id": "4668619-26", "cmd_name": "conala", "oracle_man": ["python.library.logging#logging.Filter.filter"], "canonical_cmd": "VAR_STR.objects.filter(date__year='VAR_STR', date__month='01')"}
+{"nl": "Open image 'picture.jpg'", "cmd": "img = Image.open('picture.jpg')\nimg.show()", "question_id": "16387069-81", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open"], "canonical_cmd": "img = Image.open('VAR_STR')\nimg.show()"}
+{"nl": "Open image \"picture.jpg\"", "cmd": "img = Image.open('picture.jpg')\nImg.show", "question_id": "16387069-86", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open"], "canonical_cmd": "img = Image.open('VAR_STR')\nImg.show"}
+{"nl": "write the content of file `xxx.mp4` to file `f`", "cmd": "f.write(open('xxx.mp4', 'rb').read())", "question_id": "12426043-1", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open", "python.library.os#os.read", "python.library.os#os.write"], "canonical_cmd": "VAR_STR.write(open('VAR_STR', 'rb').read())"}
+{"nl": "Sort the values of the dataframe `df` and align the columns accordingly based on the obtained indices after np.argsort.", "cmd": "pd.DataFrame(df.columns[np.argsort(df.values)], df.index, np.unique(df.values))", "question_id": "41572822-28", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe", "numpy.reference.generated.numpy.argsort", "numpy.reference.generated.numpy.unique"], "canonical_cmd": "pd.DataFrame(VAR_STR.columns[np.argsort(VAR_STR.values)], VAR_STR.index, np.\n    unique(VAR_STR.values))"}
+{"nl": "remove duplicate rows from dataframe `df1` and calculate their frequency", "cmd": "df1.groupby(['key', 'year']).size().reset_index()", "question_id": "21558999-5", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.core.groupby.groupby.size", "pandas.reference.api.pandas.dataframe.reset_index"], "canonical_cmd": "VAR_STR.groupby(['key', 'year']).size().reset_index()"}
+{"nl": "Get average for every three columns in `df` dataframe", "cmd": "df.groupby(np.arange(len(df.columns)) // 3, axis=1).mean()", "question_id": "40963347-42", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.groupby", "python.library.functions#len", "numpy.reference.generated.numpy.arange", "pandas.reference.api.pandas.dataframe.mean"], "canonical_cmd": "VAR_STR.groupby(np.arange(len(VAR_STR.columns)) // 3, axis=1).mean()"}
+{"nl": "django redirect to view 'Home.views.index'", "cmd": "redirect('Home.views.index')", "question_id": "7284952-22", "cmd_name": "conala", "oracle_man": ["flask.api.index#flask.redirect"], "canonical_cmd": "redirect('VAR_STR')"}
+{"nl": "get a list of keys of dictionary `things` sorted by the value of nested dictionary key 'weight'", "cmd": "sorted(list(things.keys()), key=lambda x: things[x]['weight'], reverse=True)", "question_id": "42352887-25", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "python.library.functions#list", "python.library.stdtypes#dict.keys"], "canonical_cmd": "sorted(list(VAR_STR.keys()), key=lambda x: VAR_STR[x]['VAR_STR'], reverse=True)"}
+{"nl": "get the path of module `a_module`", "cmd": "print(a_module.__file__)", "question_id": "247770-78", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "print(VAR_STR.__file__)"}
+{"nl": "get the path of the current python module", "cmd": "print(os.getcwd())", "question_id": "247770-2", "cmd_name": "conala", "oracle_man": ["python.library.os#os.getcwd"], "canonical_cmd": "print(os.getcwd())"}
+{"nl": "get the path of the python module `amodule`", "cmd": "path = os.path.abspath(amodule.__file__)", "question_id": "247770-13", "cmd_name": "conala", "oracle_man": ["python.library.os.path#os.path.abspath"], "canonical_cmd": "path = os.path.abspath(VAR_STR.__file__)"}
+{"nl": "sum the values in each row of every two adjacent columns in dataframe `df`", "cmd": "df.groupby(np.arange(len(df.columns)) // 2 + 1, axis=1).sum().add_prefix('s')", "question_id": "40660956-52", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.groupby", "python.library.functions#len", "numpy.reference.generated.numpy.arange", "python.library.functions#sum", "pandas.reference.api.pandas.dataframe.add_prefix"], "canonical_cmd": "VAR_STR.groupby(np.arange(len(VAR_STR.columns)) // 2 + 1, axis=1).sum().add_prefix(\n    's')"}
+{"nl": "display current time", "cmd": "now = datetime.datetime.now().strftime('%H:%M:%S')", "question_id": "5110352-21", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.strftime"], "canonical_cmd": "now = datetime.datetime.now().strftime('%H:%M:%S')"}
+{"nl": "decode a hex string '4a4b4c' to UTF-8.", "cmd": "bytes.fromhex('4a4b4c').decode('utf-8')", "question_id": "3283984-56", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#bytes.fromhex", "python.library.stdtypes#bytes.decode"], "canonical_cmd": "bytes.fromhex('VAR_STR').decode('utf-8')"}
+{"nl": "capture final output of a chain of system commands `ps -ef | grep something | wc -l`", "cmd": "subprocess.check_output('ps -ef | grep something | wc -l', shell=True)", "question_id": "14971373-85", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.check_output"], "canonical_cmd": "subprocess.check_output('VAR_STR', shell=True)"}
+{"nl": "find intersection data between series `s1` and series `s2`", "cmd": "pd.Series(list(set(s1).intersection(set(s2))))", "question_id": "18079563-10", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#set", "python.library.functions#list", "pandas.reference.series"], "canonical_cmd": "pd.Series(list(set(VAR_STR).intersection(set(VAR_STR))))"}
+{"nl": "Format a datetime string `when` to extract date only", "cmd": "then = datetime.datetime.strptime(when, '%Y-%m-%d').date()", "question_id": "26153795-98", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.strptime", "python.library.datetime#datetime.datetime.date"], "canonical_cmd": "then = datetime.datetime.strptime(VAR_STR, '%Y-%m-%d').date()"}
+{"nl": "get the first object from a queryset in django model `Entry`", "cmd": "Entry.objects.filter()[:1].get()", "question_id": "5123839-3", "cmd_name": "conala", "oracle_man": ["python.library.logging#logging.Filter.filter", "python.library.webbrowser#webbrowser.get"], "canonical_cmd": "VAR_STR.objects.filter()[:1].get()"}
+{"nl": "enable warnings using action 'always'", "cmd": "warnings.simplefilter('always')", "question_id": "29784889-2", "cmd_name": "conala", "oracle_man": ["python.library.warnings#warnings.simplefilter"], "canonical_cmd": "warnings.simplefilter('VAR_STR')"}
+{"nl": "download a file \"http://www.example.com/songs/mp3.mp3\" over HTTP and save to \"mp3.mp3\"", "cmd": "urllib.request.urlretrieve('http://www.example.com/songs/mp3.mp3', 'mp3.mp3')", "question_id": "22676-23", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#urllib.request.urlretrieve"], "canonical_cmd": "urllib.request.urlretrieve('VAR_STR', 'VAR_STR')"}
+{"nl": "download a file `url` over HTTP and save to `file_name`", "cmd": "u = urllib.request.urlopen(url)\nf = open(file_name, 'wb')\nmeta = u.info()\nfile_size = int(meta.getheaders('Content-Length')[0])\nprint(('Downloading: %s Bytes: %s' % (file_name, file_size)))\nfile_size_dl = 0\nblock_sz = 8192\nwhile True:\n    buffer = u.read(block_sz)\n    if (not buffer):\n        break\n    file_size_dl += len(buffer)\n    f.write(buffer)\n    status = ('%10d  [%3.2f%%]' % (file_size_dl, ((file_size_dl * 100.0) / file_size)))\n    status = (status + (chr(8) * (len(status) + 1)))\n    print(status, end=' ')\nf.close()", "question_id": "22676-91", "cmd_name": "conala", "oracle_man": ["python.library.functions#len", "python.library.urllib.request#urllib.request.urlopen", "python.library.functions#chr", "python.library.functions#int", "python.library.urllib.request#open", "python.library.urllib.request#urllib.request.BaseHandler.close", "python.library.urllib.request#urllib.response.addinfourl.info"], "canonical_cmd": "u = urllib.request.urlopen(VAR_STR)\nf = open(VAR_STR, 'wb')\nmeta = u.info()\nfile_size = int(meta.getheaders('Content-Length')[0])\nprint('Downloading: %s Bytes: %s' % (VAR_STR, file_size))\nfile_size_dl = 0\nblock_sz = 8192\nwhile True:\n    buffer = u.read(block_sz)\n    if not buffer:\n        break\n    file_size_dl += len(buffer)\n    f.write(buffer)\n    status = '%10d  [%3.2f%%]' % (file_size_dl, file_size_dl * 100.0 /\n        file_size)\n    status = status + chr(8) * (len(status) + 1)\n    print(status, end=' ')\nf.close()"}
+{"nl": "download a file 'http://www.example.com/' over HTTP", "cmd": "response = urllib.request.urlopen('http://www.example.com/')\nhtml = response.read()", "question_id": "22676-14", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#urllib.request.urlopen", "python.library.urllib.robotparser#urllib.robotparser.RobotFileParser.read"], "canonical_cmd": "response = urllib.request.urlopen('VAR_STR')\nhtml = response.read()"}
+{"nl": "download a file `url` over HTTP", "cmd": "r = requests.get(url)", "question_id": "22676-1", "cmd_name": "conala", "oracle_man": ["python.library.webbrowser#webbrowser.get"], "canonical_cmd": "r = requests.get(VAR_STR)"}
+{"nl": "download a file `url` over HTTP and save to \"10MB\"", "cmd": "response = requests.get(url, stream=True)\nwith open('10MB', 'wb') as handle:\n    for data in tqdm(response.iter_content()):\n        handle.write(data)", "question_id": "22676-64", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open", "matplotlib.backend_pdf_api#matplotlib.backends.backend_pdf.Stream.write"], "canonical_cmd": "response = requests.get(VAR_STR, stream=True)\nwith open('VAR_STR', 'wb') as handle:\n    for data in tqdm(response.iter_content()):\n        handle.write(data)"}
+{"nl": "Multiply a matrix `P` with a 3d tensor `T` in scipy", "cmd": "scipy.tensordot(P, T, axes=[1, 1]).swapaxes(0, 1)", "question_id": "4490961-76", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.tensordot", "numpy.reference.generated.numpy.swapaxes"], "canonical_cmd": "scipy.tensordot(VAR_STR, VAR_STR, axes=[1, 1]).swapaxes(0, 1)"}
+{"nl": "convert hex string '470FC614' to a float number", "cmd": "struct.unpack('!f', '470FC614'.decode('hex'))[0]", "question_id": "1592158-5", "cmd_name": "conala", "oracle_man": ["python.library.struct#struct.unpack", "python.library.stdtypes#bytearray.decode"], "canonical_cmd": "struct.unpack('!f', 'VAR_STR'.decode('hex'))[0]"}
+{"nl": "reverse the list that contains 1 to 10", "cmd": "list(reversed(list(range(10))))", "question_id": "7286365-38", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.functions#range", "python.library.functions#reversed"], "canonical_cmd": "list(reversed(list(range(10))))"}
+{"nl": "get the date 7 days before the current date", "cmd": "(datetime.datetime.now() - datetime.timedelta(days=7)).date()", "question_id": "20573459-83", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now", "python.library.datetime#datetime.timedelta", "python.library.datetime#datetime.datetime.date"], "canonical_cmd": "(datetime.datetime.now() - datetime.timedelta(days=7)).date()"}
+{"nl": "encode binary string 'your string' to base64 code", "cmd": "base64.b64encode(bytes('your string', 'utf-8'))", "question_id": "23164058-67", "cmd_name": "conala", "oracle_man": ["python.library.base64#base64.b64encode", "python.library.functions#bytes"], "canonical_cmd": "base64.b64encode(bytes('VAR_STR', 'utf-8'))"}
+{"nl": "identify duplicate values in list `mylist`", "cmd": "[k for k, v in list(Counter(mylist).items()) if v > 1]", "question_id": "11236006-9", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.collections#collections.Counter", "python.library.stdtypes#dict.items"], "canonical_cmd": "[k for k, v in list(Counter(VAR_STR).items()) if v > 1]"}
+{"nl": "write the data of dataframe `df` into text file `np.txt`", "cmd": "np.savetxt('c:\\\\data\\\\np.txt', df.values, fmt='%d')", "question_id": "31247198-48", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.savetxt"], "canonical_cmd": "np.savetxt('c:\\\\data\\\\np.txt', VAR_STR.values, fmt='%d')"}
+{"nl": "write content of DataFrame `df` into text file 'c:\\\\data\\\\pandas.txt'", "cmd": "df.to_csv('c:\\\\data\\\\pandas.txt', header=None, index=None, sep=' ', mode='a')", "question_id": "31247198-21", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.to_csv"], "canonical_cmd": "VAR_STR.to_csv('VAR_STR', header=None, index=None, sep=' ', mode='a')"}
+{"nl": "Split a string `x` by last occurrence of character `-`", "cmd": "print(x.rpartition('-')[0])", "question_id": "15851568-6", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.rpartition"], "canonical_cmd": "print(VAR_STR.rpartition('VAR_STR')[0])"}
+{"nl": "get the last part of a string before the character '-'", "cmd": "print(x.rsplit('-', 1)[0])", "question_id": "15851568-9", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.rsplit"], "canonical_cmd": "print(x.rsplit('VAR_STR', 1)[0])"}
+{"nl": "create a random list of integers", "cmd": "[int(1000 * random.random()) for i in range(10000)]", "question_id": "4172131-18", "cmd_name": "conala", "oracle_man": ["python.library.functions#range", "python.library.functions#int"], "canonical_cmd": "[int(1000 * random.random()) for i in range(10000)]"}
+{"nl": "Using %f with strftime() in Python to get microseconds", "cmd": "datetime.datetime.now().strftime('%H:%M:%S.%f')", "question_id": "6677332-3", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now", "python.library.datetime#datetime.datetime.strftime"], "canonical_cmd": "datetime.datetime.now().strftime('%H:%M:%S.%f')"}
+{"nl": "print a 2 dimensional list `tab` as a table with delimiters", "cmd": "print('\\n'.join('\\t'.join(str(col) for col in row) for row in tab))", "question_id": "583557-14", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str", "python.library.stdtypes#str.join"], "canonical_cmd": "print('\\n'.join('\\t'.join(str(col) for col in row) for row in VAR_STR))"}
+{"nl": "count non zero values in each column in pandas data frame", "cmd": "df.astype(bool).sum(axis=1)", "question_id": "26053849-22", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.astype", "python.library.functions#sum"], "canonical_cmd": "df.astype(bool).sum(axis=1)"}
+{"nl": "lower a string `text` and remove non-alphanumeric characters aside from space", "cmd": "re.sub('[^\\\\sa-zA-Z0-9]', '', text).lower().strip()", "question_id": "30693804-5", "cmd_name": "conala", "oracle_man": ["python.library.re#re.sub", "python.library.stdtypes#str.lower", "python.library.stdtypes#str.strip"], "canonical_cmd": "re.sub('[^\\\\sa-zA-Z0-9]', '', VAR_STR).lower().strip()"}
+{"nl": "remove all non-alphanumeric characters except space from a string `text` and lower it", "cmd": "re.sub('(?!\\\\s)[\\\\W_]', '', text).lower().strip()", "question_id": "30693804-72", "cmd_name": "conala", "oracle_man": ["python.library.re#re.sub", "python.library.stdtypes#str.lower", "python.library.stdtypes#str.strip"], "canonical_cmd": "re.sub('(?!\\\\s)[\\\\W_]', '', VAR_STR).lower().strip()"}
+{"nl": "access a tag called \"name\" in beautifulsoup `soup`", "cmd": "print(soup.find('name').string)", "question_id": "14435268-66", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "print(VAR_STR.find('VAR_STR').string)"}
+{"nl": "Get the characters count in a file `filepath`", "cmd": "os.stat(filepath).st_size", "question_id": "2011048-15", "cmd_name": "conala", "oracle_man": ["python.library.os#os.stat"], "canonical_cmd": "os.stat(VAR_STR).st_size"}
+{"nl": "count the occurrences of item \"a\" in list `l`", "cmd": "l.count('a')", "question_id": "2600191-99", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.count"], "canonical_cmd": "VAR_STR.count('VAR_STR')"}
+{"nl": "count the occurrences of items in list `l`", "cmd": "Counter(l)", "question_id": "2600191-23", "cmd_name": "conala", "oracle_man": ["python.library.collections#collections.Counter"], "canonical_cmd": "Counter(VAR_STR)"}
+{"nl": "count the occurrences of items in list `l`", "cmd": "[[x, l.count(x)] for x in set(l)]", "question_id": "2600191-53", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#set", "python.library.stdtypes#str.count"], "canonical_cmd": "[[x, VAR_STR.count(x)] for x in set(VAR_STR)]"}
+{"nl": "count the occurrences of items in list `l`", "cmd": "dict(((x, l.count(x)) for x in set(l)))", "question_id": "2600191-55", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#dict", "python.library.stdtypes#set", "python.library.stdtypes#str.count"], "canonical_cmd": "dict((x, VAR_STR.count(x)) for x in set(VAR_STR))"}
+{"nl": "count the occurrences of item \"b\" in list `l`", "cmd": "l.count('b')", "question_id": "2600191-98", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.count"], "canonical_cmd": "VAR_STR.count('VAR_STR')"}
+{"nl": "copy file `srcfile` to directory `dstdir`", "cmd": "shutil.copy(srcfile, dstdir)", "question_id": "12842997-15", "cmd_name": "conala", "oracle_man": ["python.library.shutil#shutil.copy"], "canonical_cmd": "shutil.copy(VAR_STR, VAR_STR)"}
+{"nl": "combine values from column 'b' and column 'a' of dataframe `df`  into column 'c' of datafram `df`", "cmd": "df['c'] = np.where(df['a'].isnull, df['b'], df['a'])", "question_id": "38152389-84", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.where"], "canonical_cmd": "VAR_STR['VAR_STR'] = np.where(VAR_STR['VAR_STR'].isnull, VAR_STR['VAR_STR'], VAR_STR['VAR_STR']\n    )"}
+{"nl": "Convert tuple `t` to list", "cmd": "list(t)", "question_id": "16296643-89", "cmd_name": "conala", "oracle_man": ["python.library.functions#list"], "canonical_cmd": "list(VAR_STR)"}
+{"nl": "Convert list `t` to tuple", "cmd": "tuple(l)", "question_id": "16296643-89", "cmd_name": "conala", "oracle_man": ["python.library.functions#list"], "canonical_cmd": "tuple(l)"}
+{"nl": "Convert tuple `level1` to list", "cmd": "level1 = map(list, level1)", "question_id": "16296643-20", "cmd_name": "conala", "oracle_man": ["python.library.functions#map"], "canonical_cmd": "VAR_STR = map(list, VAR_STR)"}
+{"nl": "send the output of pprint object `dataobject` to file `logFile`", "cmd": "pprint.pprint(dataobject, logFile)", "question_id": "3880399-74", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "pprint.pprint(VAR_STR, VAR_STR)"}
+{"nl": "get index of rows in column 'BoolCol'", "cmd": "df.loc[df['BoolCol']]", "question_id": "21800169-34", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.loc"], "canonical_cmd": "df.loc[df['VAR_STR']]"}
+{"nl": "Create a list containing the indexes of rows where the value of column 'BoolCol' in dataframe `df` are equal to True", "cmd": "df.iloc[np.flatnonzero(df['BoolCol'])]", "question_id": "21800169-19", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.flatnonzero", "pandas.reference.api.pandas.dataframe.loc"], "canonical_cmd": "VAR_STR.iloc[np.flatnonzero(VAR_STR['VAR_STR'])]"}
+{"nl": "get list of indexes of rows where column 'BoolCol' values match True", "cmd": "df[df['BoolCol'] == True].index.tolist()", "question_id": "21800169-92", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.index.tolist"], "canonical_cmd": "df[df['VAR_STR'] == True].index.tolist()"}
+{"nl": "get index of rows in dataframe `df` which column 'BoolCol' matches value True", "cmd": "df[df['BoolCol']].index.tolist()", "question_id": "21800169-41", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.index.tolist"], "canonical_cmd": "VAR_STR[VAR_STR['VAR_STR']].index.tolist()"}
+{"nl": "change working directory to the directory `owd`", "cmd": "os.chdir(owd)", "question_id": "299446-100", "cmd_name": "conala", "oracle_man": ["python.library.os#os.chdir"], "canonical_cmd": "os.chdir(VAR_STR)"}
+{"nl": "remove a div with a id `main-content` using beautifulsoup", "cmd": "soup.find('div', id='main-content').decompose()", "question_id": "32063985-36", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "soup.find('div', id='VAR_STR').decompose()"}
+{"nl": "join each element in array `a` with element at the same index in array `b` as a tuple", "cmd": "np.array([zip(x, y) for x, y in zip(a, b)])", "question_id": "17960441-40", "cmd_name": "conala", "oracle_man": ["python.library.functions#zip", "numpy.reference.generated.numpy.array"], "canonical_cmd": "np.array([zip(x, y) for x, y in zip(VAR_STR, VAR_STR)])"}
+{"nl": "zip two 2-d arrays `a` and `b`", "cmd": "np.array(zip(a.ravel(), b.ravel()), dtype='i4,i4').reshape(a.shape)", "question_id": "17960441-39", "cmd_name": "conala", "oracle_man": ["python.library.functions#zip", "numpy.reference.generated.numpy.array", "numpy.reference.generated.numpy.ravel"], "canonical_cmd": "np.array(zip(VAR_STR.ravel(), VAR_STR.ravel()), dtype='i4,i4').reshape(VAR_STR.shape)"}
+{"nl": "Find last occurrence of character '}' in string \"abcd}def}\"", "cmd": "'abcd}def}'.rfind('}')", "question_id": "26443308-74", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.rfind"], "canonical_cmd": "\"\"\"VAR_STR\"\"\".rfind('VAR_STR')"}
+{"nl": "shuffle columns of an numpy array 'r'", "cmd": "np.random.shuffle(np.transpose(r))", "question_id": "20546419-7", "cmd_name": "conala", "oracle_man": ["numpy.reference.random.generated.numpy.random.shuffle", "numpy.reference.generated.numpy.transpose"], "canonical_cmd": "np.random.shuffle(np.transpose(VAR_STR))"}
+{"nl": "determine number of files on a drive with python", "cmd": "os.statvfs('/').f_files - os.statvfs('/').f_ffree", "question_id": "574236-63", "cmd_name": "conala", "oracle_man": ["python.library.os#os.statvfs"], "canonical_cmd": "os.statvfs('/').f_files - os.statvfs('/').f_ffree"}
+{"nl": "how to get a single result from a SQLite query in python?", "cmd": "cursor.fetchone()[0]", "question_id": "7011291-98", "cmd_name": "conala", "oracle_man": ["python.library.sqlite3#sqlite3.Cursor.fetchone"], "canonical_cmd": "cursor.fetchone()[0]"}
+{"nl": "prepend the line '#test firstline\\n' to the contents of file 'infile' and save as the file 'outfile'", "cmd": "open('outfile', 'w').write('#test firstline\\n' + open('infile').read())", "question_id": "4454298-91", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#open"], "canonical_cmd": "open('VAR_STR', 'w').write('VAR_STR' + open('VAR_STR').read())"}
+{"nl": "return `True` if string `foobarrrr` contains regex `ba[rzd]`", "cmd": "bool(re.search('ba[rzd]', 'foobarrrr'))", "question_id": "9012008-0", "cmd_name": "conala", "oracle_man": ["python.library.re#re.search", "python.library.functions#bool"], "canonical_cmd": "bool(re.search('VAR_STR', 'VAR_STR'))"}
+{"nl": "Removing duplicates in list `t`", "cmd": "list(set(t))", "question_id": "7961363-85", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#set"], "canonical_cmd": "list(set(VAR_STR))"}
+{"nl": "Removing duplicates in list `source_list`", "cmd": "list(set(source_list))", "question_id": "7961363-86", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#set"], "canonical_cmd": "list(set(VAR_STR))"}
+{"nl": "Removing duplicates in list `abracadabra`", "cmd": "list(OrderedDict.fromkeys('abracadabra'))", "question_id": "7961363-7", "cmd_name": "conala", "oracle_man": ["python.library.functions#list", "python.library.stdtypes#dict.fromkeys"], "canonical_cmd": "list(OrderedDict.fromkeys('VAR_STR'))"}
+{"nl": "Convert array `a` into a list", "cmd": "numpy.array(a).reshape(-1).tolist()", "question_id": "5183533-81", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.array", "python.library.array#array.array.tolist", "numpy.reference.generated.numpy.reshape"], "canonical_cmd": "numpy.array(VAR_STR).reshape(-1).tolist()"}
+{"nl": "Convert the first row of numpy matrix `a` to a list", "cmd": "numpy.array(a)[0].tolist()", "question_id": "5183533-11", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.array", "python.library.array#array.array.tolist"], "canonical_cmd": "numpy.array(VAR_STR)[0].tolist()"}
+{"nl": "In `soup`, get the content of the sibling of the `td`  tag with text content `Address:`", "cmd": "print(soup.find(text='Address:').findNext('td').contents[0])", "question_id": "5999747-97", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.find"], "canonical_cmd": "print(VAR_STR.find(text='VAR_STR').findNext('VAR_STR').contents[0])"}
+{"nl": "encode string 'data to be encoded'", "cmd": "encoded = base64.b64encode('data to be encoded')", "question_id": "8908287-54", "cmd_name": "conala", "oracle_man": ["python.library.base64#base64.b64encode"], "canonical_cmd": "encoded = base64.b64encode('VAR_STR')"}
+{"nl": "encode a string `data to be encoded` to `ascii` encoding", "cmd": "encoded = 'data to be encoded'.encode('ascii')", "question_id": "8908287-40", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.encode"], "canonical_cmd": "encoded = 'VAR_STR'.encode('VAR_STR')"}
+{"nl": "Get attribute `my_str` of object `my_object`", "cmd": "getattr(my_object, my_str)", "question_id": "9035479-73", "cmd_name": "conala", "oracle_man": ["python.library.functions#getattr"], "canonical_cmd": "getattr(VAR_STR, VAR_STR)"}
+{"nl": "replace all elements in array `A` that are not present in array `[1, 3, 4]` with zeros", "cmd": "np.where(np.in1d(A, [1, 3, 4]).reshape(A.shape), A, 0)", "question_id": "34945274-35", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.in1d", "numpy.reference.generated.numpy.where", "numpy.reference.generated.numpy.reshape"], "canonical_cmd": "np.where(np.in1d(VAR_STR, [VAR_STR]).reshape(VAR_STR.shape), VAR_STR, 0)"}
+{"nl": "calculate mean across dimension in a 2d array `a`", "cmd": "np.mean(a, axis=1)", "question_id": "15819980-52", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.mean"], "canonical_cmd": "np.mean(VAR_STR, axis=1)"}
+{"nl": "add a header to a csv file", "cmd": "writer.writeheader()", "question_id": "15907200-35", "cmd_name": "conala", "oracle_man": ["python.library.csv#csv.DictWriter.writeheader"], "canonical_cmd": "writer.writeheader()"}
+{"nl": "selecting rows in Numpy ndarray 'a', where the value in the first column is 0 and value in the second column is 1", "cmd": "a[np.where((a[:, (0)] == 0) * (a[:, (1)] == 1))]", "question_id": "23359886-48", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.where"], "canonical_cmd": "VAR_STR[np.where((VAR_STR[:, (0)] == 0) * (VAR_STR[:, (1)] == 1))]"}
+{"nl": "convert a pandas series `sf` into a pandas dataframe `df` with columns `email` and `list`", "cmd": "pd.DataFrame({'email': sf.index, 'list': sf.values})", "question_id": "26097916-29", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe"], "canonical_cmd": "pd.DataFrame({'VAR_STR': VAR_STR.index, 'VAR_STR': VAR_STR.values})"}
+{"nl": "resized image `image` to width, height of `(x, y)` with filter of `ANTIALIAS`", "cmd": "image = image.resize((x, y), Image.ANTIALIAS)", "question_id": "1405602-48", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.resize"], "canonical_cmd": "VAR_STR = VAR_STR.resize((VAR_STR), Image.VAR_STR)"}
+{"nl": "find 10 largest differences between each respective elements of list `l1` and list `l2`", "cmd": "heapq.nlargest(10, range(len(l1)), key=lambda i: abs(l1[i] - l2[i]))", "question_id": "9323159-38", "cmd_name": "conala", "oracle_man": ["python.library.heapq#heapq.nlargest", "python.library.functions#len", "python.library.functions#range", "python.library.functions#abs"], "canonical_cmd": "heapq.nlargest(10, range(len(VAR_STR)), key=lambda i: abs(VAR_STR[i] - VAR_STR[i]))"}
+{"nl": "BeautifulSoup find all 'span' elements in HTML string `soup` with class of 'starGryB sp'", "cmd": "soup.find_all('span', {'class': 'starGryB sp'})", "question_id": "29877663-54", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "VAR_STR.find_all('VAR_STR', {'class': 'VAR_STR'})"}
+{"nl": "Sort lis `list5` in ascending order based on the degrees value of its elements", "cmd": "sorted(list5, lambda x: (degree(x), x))", "question_id": "16193578-72", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "numpy.reference.generated.numpy.polynomial.hermite_e.hermitee.degree"], "canonical_cmd": "sorted(VAR_STR, lambda x: (degree(x), x))"}
+{"nl": "How do I perform secondary sorting in python?", "cmd": "sorted(list5, key=lambda vertex: (degree(vertex), vertex))", "question_id": "16193578-58", "cmd_name": "conala", "oracle_man": ["python.library.functions#sorted", "numpy.reference.generated.numpy.polynomial.hermite_e.hermitee.degree"], "canonical_cmd": "sorted(list5, key=lambda vertex: (degree(vertex), vertex))"}
+{"nl": "get attribute 'attr' from object `obj`", "cmd": "getattr(obj, 'attr')", "question_id": "7373219-3", "cmd_name": "conala", "oracle_man": ["python.library.functions#getattr"], "canonical_cmd": "getattr(VAR_STR, 'VAR_STR')"}
+{"nl": "encode `Decimal('3.9')` to a JSON string", "cmd": "json.dumps(Decimal('3.9'))", "question_id": "1960516-75", "cmd_name": "conala", "oracle_man": ["python.library.json#json.dumps", "python.library.decimal#decimal.Decimal"], "canonical_cmd": "json.dumps(Decimal('3.9'))"}
+{"nl": "filter dataframe `df` by values in column `A` that appear more than once", "cmd": "df.groupby('A').filter(lambda x: len(x) > 1)", "question_id": "29836836-87", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.groupby", "python.library.functions#len", "python.library.functions#filter"], "canonical_cmd": "VAR_STR.groupby('VAR_STR').filter(lambda x: len(x) > 1)"}
+{"nl": "add color bar with image `mappable` to plot `plt`", "cmd": "plt.colorbar(mappable=mappable, cax=ax3)", "question_id": "35420052-72", "cmd_name": "conala", "oracle_man": ["matplotlib.colorbar_api#matplotlib.colorbar.Colorbar"], "canonical_cmd": "VAR_STR.colorbar(VAR_STR=VAR_STR, cax=ax3)"}
+{"nl": "count most frequent 100 words in column 'text' of dataframe `df`", "cmd": "Counter(' '.join(df['text']).split()).most_common(100)", "question_id": "29903025-37", "cmd_name": "conala", "oracle_man": ["python.library.collections#collections.Counter.most_common", "python.library.collections#collections.Counter", "python.library.stdtypes#str.join", "python.library.stdtypes#str.split"], "canonical_cmd": "Counter(' '.join(VAR_STR['VAR_STR']).split()).most_common(100)"}
+{"nl": "get a value of datetime.today() in the UTC time zone", "cmd": "datetime.now(pytz.utc)", "question_id": "4530069-65", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now"], "canonical_cmd": "datetime.now(pytz.utc)"}
+{"nl": "Django response with JSON `data`", "cmd": "return HttpResponse(data, mimetype='application/json')", "question_id": "9262278-9", "cmd_name": "conala", "oracle_man": ["python.library.http.client#http.client.HTTPResponse"], "canonical_cmd": "return HttpResponse(VAR_STR, mimetype='application/json')"}
+{"nl": "Open a background process 'background-process' with arguments 'arguments'", "cmd": "subprocess.Popen(['background-process', 'arguments'])", "question_id": "3595685-42", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.Popen"], "canonical_cmd": "subprocess.Popen(['VAR_STR', 'VAR_STR'])"}
+{"nl": "finding the index of elements containing substring 'how' and 'what' in a list of strings 'myList'.", "cmd": "[i for i, j in enumerate(myList) if 'how' in j.lower() or 'what' in j.lower()]", "question_id": "30729735-74", "cmd_name": "conala", "oracle_man": ["python.library.functions#enumerate", "python.library.stdtypes#str.lower"], "canonical_cmd": "[i for i, j in enumerate(VAR_STR) if 'VAR_STR' in j.lower() or 'VAR_STR' in j.lower()\n    ]"}
+{"nl": "unpack a series of tuples in pandas into a DataFrame with column names 'out-1' and 'out-2'", "cmd": "pd.DataFrame(out.tolist(), columns=['out-1', 'out-2'], index=out.index)", "question_id": "22799300-26", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe", "pandas.reference.api.pandas.index.tolist"], "canonical_cmd": "pd.DataFrame(out.tolist(), columns=['VAR_STR', 'VAR_STR'], index=out.index)"}
+{"nl": "rotate the xtick labels of matplotlib plot `ax` by `45` degrees to make long labels readable", "cmd": "ax.set_xticklabels(labels, rotation=45)", "question_id": "3464359-19", "cmd_name": "conala", "oracle_man": ["matplotlib._as_gen.matplotlib.axes.axes.set_xticklabels"], "canonical_cmd": "VAR_STR.set_xticklabels(labels, rotation=45)"}
+{"nl": "get number of keys in dictionary `yourdict`", "cmd": "len(list(yourdict.keys()))", "question_id": "2212433-44", "cmd_name": "conala", "oracle_man": ["python.library.functions#len", "python.library.functions#list", "python.library.stdtypes#dict.keys"], "canonical_cmd": "len(list(VAR_STR.keys()))"}
+{"nl": "count the number of keys in dictionary `yourdictfile`", "cmd": "len(set(open(yourdictfile).read().split()))", "question_id": "2212433-64", "cmd_name": "conala", "oracle_man": ["python.library.functions#len", "python.library.urllib.request#open", "python.library.stdtypes#set", "python.library.os#os.read", "python.library.stdtypes#str.split"], "canonical_cmd": "len(set(open(VAR_STR).read().split()))"}
+{"nl": "split a list in first column  into multiple columns keeping other columns as well in pandas data frame", "cmd": "pd.concat([df[0].apply(pd.Series), df[1]], axis=1)", "question_id": "40924332-83", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.concat", "pandas.reference.api.pandas.series.apply"], "canonical_cmd": "pd.concat([df[0].apply(pd.Series), df[1]], axis=1)"}
+{"nl": "Call a subprocess with arguments `c:\\\\Program Files\\\\VMware\\\\VMware Server\\\\vmware-cmd.bat` that may contain spaces", "cmd": "subprocess.Popen(['c:\\\\Program Files\\\\VMware\\\\VMware Server\\\\vmware-cmd.bat'])", "question_id": "804995-74", "cmd_name": "conala", "oracle_man": ["python.library.subprocess#subprocess.Popen"], "canonical_cmd": "subprocess.Popen(['VAR_STR'])"}
+{"nl": "reverse a priority queue `q` in python without using classes", "cmd": "q.put((-n, n))", "question_id": "26441253-42", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.put"], "canonical_cmd": "VAR_STR.put((-n, n))"}
+{"nl": "numpy concatenate two arrays `a` and `b` along the first axis", "cmd": "print(concatenate((a, b), axis=0))", "question_id": "21887754-31", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.concatenate"], "canonical_cmd": "print(concatenate((VAR_STR, VAR_STR), axis=0))"}
+{"nl": "numpy concatenate two arrays `a` and `b` along the second axis", "cmd": "print(concatenate((a, b), axis=1))", "question_id": "21887754-88", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.concatenate"], "canonical_cmd": "print(concatenate((VAR_STR, VAR_STR), axis=1))"}
+{"nl": "numpy concatenate two arrays `a` and `b` along the first axis", "cmd": "c = np.r_[(a[None, :], b[None, :])]", "question_id": "21887754-21", "cmd_name": "conala", "oracle_man": [], "canonical_cmd": "c = np.r_[VAR_STR[(None), :], VAR_STR[(None), :]]"}
+{"nl": "numpy concatenate two arrays `a` and `b` along the first axis", "cmd": "np.array((a, b))", "question_id": "21887754-64", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.array"], "canonical_cmd": "np.array((VAR_STR, VAR_STR))"}
+{"nl": "return a 401 unauthorized in django", "cmd": "return HttpResponse('Unauthorized', status=401)", "question_id": "4356842-88", "cmd_name": "conala", "oracle_man": ["python.library.http.client#http.client.HTTPResponse"], "canonical_cmd": "return HttpResponse('Unauthorized', status=401)"}
+{"nl": "Get the integer location of a key `bob` in a pandas data frame", "cmd": "df.index.get_loc('bob')", "question_id": "31793195-78", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.index.get_loc"], "canonical_cmd": "df.index.get_loc('VAR_STR')"}
+{"nl": "converting two lists `[1, 2, 3]` and `[4, 5, 6]` into a matrix", "cmd": "np.column_stack(([1, 2, 3], [4, 5, 6]))", "question_id": "18730044-52", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.column_stack"], "canonical_cmd": "np.column_stack(([VAR_STR], [VAR_STR]))"}
+{"nl": "delete all occurrences of character 'i' in string 'it is icy'", "cmd": "\"\"\"\"\"\".join([char for char in 'it is icy' if char != 'i'])", "question_id": "22187233-98", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.char.join"], "canonical_cmd": "\"\"\"\"\"\".join([char for char in 'VAR_STR' if char != 'VAR_STR'])"}
+{"nl": "delete all instances of a character 'i' in a string 'it is icy'", "cmd": "re.sub('i', '', 'it is icy')", "question_id": "22187233-48", "cmd_name": "conala", "oracle_man": ["python.library.re#re.sub"], "canonical_cmd": "re.sub('VAR_STR', '', 'VAR_STR')"}
+{"nl": "delete all characters \"i\" in string \"it is icy\"", "cmd": "\"\"\"it is icy\"\"\".replace('i', '')", "question_id": "22187233-75", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#str.replace"], "canonical_cmd": "\"\"\"VAR_STR\"\"\".replace('VAR_STR', '')"}
+{"nl": "How to delete all instances of a character in a string in python?", "cmd": "\"\"\"\"\"\".join([char for char in 'it is icy' if char != 'i'])", "question_id": "22187233-63", "cmd_name": "conala", "oracle_man": ["numpy.reference.generated.numpy.char.join"], "canonical_cmd": "\"\"\"\"\"\".join([char for char in 'it is icy' if char != 'i'])"}
+{"nl": "converting list of strings `intstringlist` to list of integer `nums`", "cmd": "nums = [int(x) for x in intstringlist]", "question_id": "10351772-57", "cmd_name": "conala", "oracle_man": ["python.library.functions#int"], "canonical_cmd": "VAR_STR = [int(x) for x in VAR_STR]"}
+{"nl": "convert list of string numbers into list of integers", "cmd": "map(int, eval(input('Enter the unfriendly numbers: ')))", "question_id": "10351772-10", "cmd_name": "conala", "oracle_man": ["python.library.functions#eval", "python.library.functions#input", "python.library.functions#map"], "canonical_cmd": "map(int, eval(input('Enter the unfriendly numbers: ')))"}
+{"nl": "Find all files in directory \"/mydir\" with extension \".txt\"", "cmd": "os.chdir('/mydir')\nfor file in glob.glob('*.txt'):\n    pass", "question_id": "3964681-43", "cmd_name": "conala", "oracle_man": ["python.library.os#os.chdir"], "canonical_cmd": "os.chdir('VAR_STR')\nfor file in glob.glob('*.txt'):\n    pass"}
+{"nl": "Find all files in directory \"/mydir\" with extension \".txt\"", "cmd": "for file in os.listdir('/mydir'):\n    if file.endswith('.txt'):\n        pass", "question_id": "3964681-18", "cmd_name": "conala", "oracle_man": ["python.library.os#os.listdir", "python.library.stdtypes#str.endswith"], "canonical_cmd": "for file in os.listdir('VAR_STR'):\n    if file.endswith('VAR_STR'):\n        pass"}
+{"nl": "Find all files in directory \"/mydir\" with extension \".txt\"", "cmd": "for (root, dirs, files) in os.walk('/mydir'):\n    for file in files:\n        if file.endswith('.txt'):\n            pass", "question_id": "3964681-62", "cmd_name": "conala", "oracle_man": ["python.library.os#os.walk", "python.library.stdtypes#str.endswith"], "canonical_cmd": "for root, dirs, files in os.walk('VAR_STR'):\n    for file in files:\n        if file.endswith('VAR_STR'):\n            pass"}
+{"nl": "decode json string `request.body` to python dict", "cmd": "json.loads(request.body)", "question_id": "18979111-77", "cmd_name": "conala", "oracle_man": ["python.library.json#json.loads"], "canonical_cmd": "json.loads(request.body)"}
+{"nl": "How to sort a Dataframe by the ocurrences in a column in Python (pandas)", "cmd": "df.groupby('prots').sum().sort('scores', ascending=False)", "question_id": "36402748-46", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.groupby", "python.library.functions#sum", "pandas.reference.api.pandas.index.sort"], "canonical_cmd": "df.groupby('prots').sum().sort('scores', ascending=False)"}
+{"nl": "get json data from restful service 'url'", "cmd": "json.load(urllib.request.urlopen('url'))", "question_id": "7750557-47", "cmd_name": "conala", "oracle_man": ["python.library.urllib.request#urllib.request.urlopen", "python.library.json#json.load"], "canonical_cmd": "json.load(urllib.request.urlopen('VAR_STR'))"}
+{"nl": "django filter by hour", "cmd": "Entry.objects.filter(pub_date__contains='08:00')", "question_id": "2984751-50", "cmd_name": "conala", "oracle_man": ["python.library.logging#logging.Filter.filter"], "canonical_cmd": "Entry.objects.filter(pub_date__contains='08:00')"}
+{"nl": "sort a list of dictionary `list` first by key `points` and then by `time`", "cmd": "list.sort(key=lambda item: (item['points'], item['time']))", "question_id": "5944630-52", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#list.sort"], "canonical_cmd": "VAR_STR.sort(key=lambda item: (item['VAR_STR'], item['VAR_STR']))"}
+{"nl": "Convert integer `number` into an unassigned integer", "cmd": "struct.unpack('H', struct.pack('h', number))", "question_id": "19546911-36", "cmd_name": "conala", "oracle_man": ["python.library.struct#struct.unpack", "python.library.struct#struct.pack"], "canonical_cmd": "struct.unpack('H', struct.pack('h', VAR_STR))"}
+{"nl": "write dataframe `df`, excluding index, to a csv file", "cmd": "df.to_csv(filename, index=False)", "question_id": "20107570-40", "cmd_name": "conala", "oracle_man": ["pandas.reference.api.pandas.dataframe.to_csv"], "canonical_cmd": "VAR_STR.to_csv(filename, index=False)"}
+{"nl": "convert a urllib unquoted string `unescaped` to a json data `json_data`", "cmd": "json_data = json.loads(unescaped)", "question_id": "8740353-74", "cmd_name": "conala", "oracle_man": ["python.library.json#json.loads"], "canonical_cmd": "VAR_STR = json.loads(VAR_STR)"}
+{"nl": "write `newFileBytes` to a binary file `newFile`", "cmd": "newFile.write(struct.pack('5B', *newFileBytes))", "question_id": "18367007-15", "cmd_name": "conala", "oracle_man": ["python.library.struct#struct.pack", "python.library.os#os.write"], "canonical_cmd": "VAR_STR.write(struct.pack('5B', *VAR_STR))"}
+{"nl": "get the last key of dictionary `dict`", "cmd": "list(dict.keys())[-1]", "question_id": "16125229-76", "cmd_name": "conala", "oracle_man": ["python.library.stdtypes#dict.keys", "python.library.functions#list"], "canonical_cmd": "list(VAR_STR.keys())[-1]"}
+{"nl": "Django get maximum value associated with field 'added' in model `AuthorizedEmail`", "cmd": "AuthorizedEmail.objects.filter(group=group).order_by('-added')[0]", "question_id": "10668585-75", "cmd_name": "conala", "oracle_man": ["python.library.logging#logging.Filter.filter"], "canonical_cmd": "VAR_STR.objects.filter(group=group).order_by('-added')[0]"}
+{"nl": "create a datetime with the current date & time", "cmd": "datetime.datetime.now()", "question_id": "10607688-46", "cmd_name": "conala", "oracle_man": ["python.library.datetime#datetime.datetime.now"], "canonical_cmd": "datetime.datetime.now()"}
+{"nl": "get the highest element in absolute value in a numpy matrix `x`", "cmd": "max(x.min(), x.max(), key=abs)", "question_id": "17794266-82", "cmd_name": "conala", "oracle_man": ["python.library.functions#max"], "canonical_cmd": "max(VAR_STR.min(), VAR_STR.max(), key=abs)"}