Code Generation Datasets
Collection
Dataset files for the code generation task. • 4 items • Updated
• 1
task_id int64 19.3k 41.9M | prompt stringlengths 17 68 | suffix stringclasses 37 values | canonical_solution stringlengths 6 153 | test_start stringlengths 22 198 | test sequencelengths 1 7 | entry_point stringlengths 7 10 | intent stringlengths 19 200 | library sequencelengths 0 3 | docs listlengths 0 3 |
|---|---|---|---|---|---|---|---|---|---|
3,283,984 | def f_3283984():
return | bytes.fromhex('4a4b4c').decode('utf-8') |
def check(candidate): | [
"\n assert candidate() == \"JKL\"\n"
] | f_3283984 | decode a hex string '4a4b4c' to UTF-8. | [] | [] | |
3,844,801 | def f_3844801(myList):
return | all(x == myList[0] for x in myList) |
def check(candidate): | [
"\n assert candidate([1,2,3]) == False\n",
"\n assert candidate([1,1,1,1,1,1]) == True\n",
"\n assert candidate([1]) == True\n",
"\n assert candidate(['k','k','k','k','k']) == True\n",
"\n assert candidate([None,'%$#ga',3]) == False\n"
] | f_3844801 | check if all elements in list `myList` are identical | [] | [] | |
4,302,166 | def f_4302166():
return | '%*s : %*s' % (20, 'Python', 20, 'Very Good') |
def check(candidate): | [
"\n assert candidate() == ' Python : Very Good'\n"
] | f_4302166 | format number of spaces between strings `Python`, `:` and `Very Good` to be `20` | [] | [] | |
7,555,335 | def f_7555335(d):
return | d.decode('cp1251').encode('utf8') |
def check(candidate): | [
"\n assert candidate('hello world!'.encode('cp1251')) == b'hello world!'\n",
"\n assert candidate('%*(^O*'.encode('cp1251')) == b'%*(^O*'\n",
"\n assert candidate(''.encode('cp1251')) == b''\n",
"\n assert candidate('hello world!'.encode('cp1251')) != 'hello world!'\n"
] | f_7555335 | convert a string `d` from CP-1251 to UTF-8 | [] | [] | |
2,544,710 | def f_2544710(kwargs):
return | {k: v for k, v in list(kwargs.items()) if v is not None} |
def check(candidate): | [
"\n assert candidate({i: None for i in range(10)}) == {}\n",
"\n assert candidate({i: min(i,4) for i in range(6)}) == {0:0,1:1,2:2,3:3,4:4,5:4}\n",
"\n assert candidate({'abc': 'abc'})['abc'] == 'abc'\n",
"\n assert candidate({'x': None, 'yy': 234}) == {'yy': 234}\n"
] | f_2544710 | get rid of None values in dictionary `kwargs` | [] | [] | |
2,544,710 | def f_2544710(kwargs):
return | dict((k, v) for k, v in kwargs.items() if v is not None) |
def check(candidate): | [
"\n assert candidate({i: None for i in range(10)}) == {}\n",
"\n assert candidate({i: min(i,4) for i in range(6)}) == {0:0,1:1,2:2,3:3,4:4,5:4}\n",
"\n assert candidate({'abc': 'abc'})['abc'] == 'abc'\n",
"\n assert candidate({'x': None, 'yy': 234}) == {'yy': 234}\n"
] | f_2544710 | get rid of None values in dictionary `kwargs` | [] | [] | |
14,971,373 | def f_14971373():
return | subprocess.check_output('ps -ef | grep something | wc -l', shell=True) |
import subprocess
from unittest.mock import Mock
def check(candidate): | [
"\n output = b' PID TTY TIME CMD\\n 226 pts/1 00:00:00 bash\\n 285 pts/1 00:00:00 python3\\n 352 pts/1 00:00:00 ps\\n'\n subprocess.check_output = Mock(return_value = output)\n assert candidate() == output\n"
] | f_14971373 | capture final output of a chain of system commands `ps -ef | grep something | wc -l` | [
"subprocess"
] | [
{
"function": "subprocess.check_output",
"text": "subprocess.check_output(args, *, stdin=None, stderr=None, shell=False, cwd=None, encoding=None, errors=None, universal_newlines=None, timeout=None, text=None, **other_popen_kwargs) \nRun command with arguments and return its output. If the return code was n... | |
6,726,636 | def f_6726636():
return | """""".join(['a', 'b', 'c']) |
def check(candidate): | [
"\n assert candidate() == \"abc\"\n",
"\n assert candidate() == 'a' + 'b' + 'c'\n"
] | f_6726636 | concatenate a list of strings `['a', 'b', 'c']` | [] | [] | |
18,079,563 | def f_18079563(s1, s2):
return | pd.Series(list(set(s1).intersection(set(s2)))) |
import pandas as pd
def check(candidate): | [
"\n x1, x2 = pd.Series([1,2]), pd.Series([1,3])\n assert candidate(x1, x2).equals(pd.Series([1]))\n",
"\n x1, x2 = pd.Series([1,2]), pd.Series([1,3, 10, 4, 5, 9])\n assert candidate(x1, x2).equals(pd.Series([1]))\n",
"\n x1, x2 = pd.Series([1,2]), pd.Series([1,2, 10])\n assert candidate(x1, x2... | f_18079563 | find intersection data between series `s1` and series `s2` | [
"pandas"
] | [
{
"function": "pandas.series",
"text": "Series Constructor \nSeries([data, index, dtype, name, copy, ...]) One-dimensional ndarray with axis labels (including time series). Attributes Axes \nSeries.index The index (axis labels) of the Series. ",
"title": "pandas.reference.series"
}
... | |
8,315,209 | def f_8315209(client):
|
return | client.send('HTTP/1.0 200 OK\r\n') |
import socket
from unittest.mock import Mock
import mock
def check(candidate): | [
"\n with mock.patch('socket.socket') as mock_socket:\n mock_socket.return_value.recv.return_value = ''\n mock_socket.bind(('', 8080))\n mock_socket.listen(5)\n mock_socket.accept = Mock(return_value = mock_socket)\n mock_socket.send = Mock()\n try:\n candidate... | f_8315209 | sending http headers to `client` | [
"socket"
] | [
{
"function": "client.send",
"text": "socket.send(bytes[, flags]) \nSend data to the socket. The socket must be connected to a remote socket. The optional flags argument has the same meaning as for recv() above. Returns the number of bytes sent. Applications are responsible for checking that all data has b... |
26,153,795 | def f_26153795(when):
return | datetime.datetime.strptime(when, '%Y-%m-%d').date() |
import datetime
def check(candidate): | [
"\n assert candidate('2013-05-07') == datetime.date(2013, 5, 7)\n",
"\n assert candidate('2000-02-29') == datetime.date(2000, 2, 29)\n",
"\n assert candidate('1990-01-08') == datetime.date(1990, 1, 8)\n",
"\n assert candidate('1990-1-08') == datetime.date(1990, 1, 8)\n",
"\n assert candidate(... | f_26153795 | Format a datetime string `when` to extract date only | [
"datetime"
] | [
{
"function": "datetime.datetime.strptime",
"text": "classmethod datetime.strptime(date_string, format) \nReturn a datetime corresponding to date_string, parsed according to format. This is equivalent to: datetime(*(time.strptime(date_string, format)[0:6]))\n ValueError is raised if the date_string and for... | |
172,439 | def f_172439(inputString):
return | inputString.split('\n') |
def check(candidate): | [
"\n assert candidate('line a\\nfollows by line b\t...bye\\n') == ['line a', 'follows by line b\t...bye', '']\n",
"\n assert candidate('no new line in this sentence. ') == ['no new line in this sentence. ']\n",
"\n assert candidate('a\tbfs hhhdf\tsfdas') == ['a\tbfs hhhdf\tsfdas']\n",
"\n a... | f_172439 | split a multi-line string `inputString` into separate strings | [] | [] | |
172,439 | def f_172439():
return | ' a \n b \r\n c '.split('\n') |
def check(candidate): | [
"\n assert candidate() == [' a ', ' b \\r', ' c ']\n"
] | f_172439 | Split a multi-line string ` a \n b \r\n c ` by new line character `\n` | [] | [] | |
13,954,222 | def f_13954222(b):
return | """:""".join(str(x) for x in b) |
def check(candidate): | [
"\n assert candidate(['x','y','zzz']) == 'x:y:zzz'\n",
"\n assert candidate(['111','22','3']) == '111:22:3'\n",
"\n assert candidate(['']) == ''\n",
"\n assert candidate([':',':']) == ':::'\n",
"\n assert candidate([',','#','#$%']) == ',:#:#$%'\n",
"\n assert candidate(['a','b','c']) != ... | f_13954222 | concatenate elements of list `b` by a colon ":" | [] | [] | |
13,567,345 | def f_13567345(a):
return | a.sum(axis=1) |
import numpy as np
def check(candidate): | [
"\n a1 = np.array([[i for i in range(3)] for j in range(5)])\n assert np.array_equal(candidate(a1), np.array([3, 3, 3, 3, 3]))\n",
"\n a2 = np.array([[i+j for i in range(3)] for j in range(5)])\n assert np.array_equal(candidate(a2), np.array([ 3, 6, 9, 12, 15]))\n",
"\n a3 = np.array([[i*j for ... | f_13567345 | Calculate sum over all rows of 2D numpy array `a` | [
"numpy"
] | [
{
"function": "a.sum",
"text": "numpy.sum numpy.sum(a, axis=None, dtype=None, out=None, keepdims=<no value>, initial=<no value>, where=<no value>)[source]\n \nSum of array elements over a given axis. Parameters ",
"title": "numpy.reference.generated.numpy.sum"
}
] | |
29,784,889 | def f_29784889():
|
return | warnings.simplefilter('always') |
import warnings
def check(candidate): | [
"\n candidate() \n assert any([(wf[0] == 'always') for wf in warnings.filters])\n"
] | f_29784889 | enable warnings using action 'always' | [
"warnings"
] | [
{
"function": "warnings.simplefilter",
"text": "warnings.simplefilter(action, category=Warning, lineno=0, append=False) \nInsert a simple entry into the list of warnings filter specifications. The meaning of the function parameters is as for filterwarnings(), but regular expressions are not needed as the f... |
13,550,423 | def f_13550423(l):
return | ' '.join(map(str, l)) |
def check(candidate): | [
"\n assert candidate(['x','y','zzz']) == 'x y zzz'\n",
"\n assert candidate(['111','22','3']) == '111 22 3'\n",
"\n assert candidate(['']) == ''\n",
"\n assert candidate([':',':']) == ': :'\n",
"\n assert candidate([',','#','#$%']) == ', # #$%'\n",
"\n assert candidate(['a','b','c']) != ... | f_13550423 | concatenate items of list `l` with a space ' ' | [] | [] | |
698,223 | def f_698223():
return | time.strptime('30/03/09 16:31:32.123', '%d/%m/%y %H:%M:%S.%f') |
import time
def check(candidate): | [
"\n answer = time.strptime('30/03/09 16:31:32.123', '%d/%m/%y %H:%M:%S.%f')\n assert candidate() == answer\n false_1 = time.strptime('30/03/09 17:31:32.123', '%d/%m/%y %H:%M:%S.%f')\n assert candidate() != false_1\n false_2 = time.strptime('20/03/09 17:31:32.123', '%d/%m/%y %H:%M:%S.%f')\n assert ... | f_698223 | parse a time string '30/03/09 16:31:32.123' containing milliseconds in it | [
"time"
] | [
{
"function": "time.strptime",
"text": "time.strptime(string[, format]) \nParse a string representing a time according to a format. The return value is a struct_time as returned by gmtime() or localtime(). The format parameter uses the same directives as those used by strftime(); it defaults to \"%a %b %d ... | |
6,633,523 | def f_6633523(my_string):
|
return my_float | my_float = float(my_string.replace(',', '')) |
def check(candidate): | [
"\n assert (candidate('1,234.00') - 1234.0) < 1e-6\n",
"\n assert (candidate('0.00') - 0.00) < 1e-6\n",
"\n assert (candidate('1,000,000.00') - 1000000.00) < 1e-6\n",
"\n assert (candidate('1,000,000.00') - 999999.98) > 1e-6\n",
"\n assert (candidate('1') - 1.00) < 1e-6\n"
] | f_6633523 | convert a string `my_string` with dot and comma into a float number `my_float` | [] | [] |
6,633,523 | def f_6633523():
return | float('123,456.908'.replace(',', '')) |
def check(candidate): | [
"\n assert (candidate() - 123456.908) < 1e-6\n assert (candidate() - 123456.9) > 1e-6\n assert (candidate() - 1234.908) > 1e-6\n assert type(candidate()) == float\n assert int(candidate()) == 123456\n"
] | f_6633523 | convert a string `123,456.908` with dot and comma into a floating number | [] | [] | |
3,108,285 | def f_3108285():
|
return | sys.path.append('/path/to/whatever') |
import sys
def check(candidate): | [
"\n original_paths = [sp for sp in sys.path]\n candidate()\n assert '/path/to/whatever' in sys.path\n"
] | f_3108285 | set python path '/path/to/whatever' in python script | [
"sys"
] | [
{
"function": "sys.append",
"text": "sys — System-specific parameters and functions This module provides access to some variables used or maintained by the interpreter and to functions that interact strongly with the interpreter. It is always available. \nsys.abiflags \nOn POSIX systems where Python was b... |
2,195,340 | def f_2195340():
return | re.split('(\\W+)', 'Words, words, words.') |
import re
def check(candidate): | [
"\n assert candidate() == ['Words', ', ', 'words', ', ', 'words', '.', '']\n assert candidate() == ['Words', ', '] + ['words', ', ', 'words', '.', '']\n"
] | f_2195340 | split string 'Words, words, words.' using a regex '(\\W+)' | [
"re"
] | [
{
"function": "re.split",
"text": "re.split(pattern, string, maxsplit=0, flags=0) \nSplit string by the occurrences of pattern. If capturing parentheses are used in pattern, then the text of all groups in the pattern are also returned as part of the resulting list. If maxsplit is nonzero, at most maxsplit ... | |
17,977,584 | def f_17977584():
return | open('Output.txt', 'a') |
def check(candidate): | [
"\n f = candidate()\n assert str(f.__class__) == \"<class '_io.TextIOWrapper'>\"\n assert f.name == 'Output.txt'\n assert f.mode == 'a'\n"
] | f_17977584 | open a file `Output.txt` in append mode | [] | [] | |
22,676 | def f_22676():
return | urllib.request.urlretrieve('https://github.com/zorazrw/multilingual-conala/blob/master/dataset/test/es_test.json', 'mp3.mp3') |
import urllib
def check(candidate): | [
"\n results = candidate()\n assert len(results) == 2\n assert results[0] == \"mp3.mp3\"\n assert results[1].values()[0] == \"GitHub.com\"\n"
] | f_22676 | download a file "http://www.example.com/songs/mp3.mp3" over HTTP and save to "mp3.mp3" | [
"urllib"
] | [
{
"function": "urllib.urlretrieve",
"text": "urllib.request.urlretrieve(url, filename=None, reporthook=None, data=None) \nCopy a network object denoted by a URL to a local file. If the URL points to a local file, the object will not be copied unless filename is supplied. Return a tuple (filename, headers) ... | |
22,676 | def f_22676(url):
|
return html | html = urllib.request.urlopen(url).read() |
import urllib
def check(candidate): | [
"\n html = candidate(\"https://github.com/zorazrw/multilingual-conala/blob/master/dataset/test/es_test.json\")\n assert b\"zorazrw/multilingual-conala\" in html\n"
] | f_22676 | download a file 'http://www.example.com/' over HTTP | [
"urllib"
] | [
{
"function": "urllib.request.urlopen",
"text": "urllib.request.urlopen(url, data=None, [timeout, ]*, cafile=None, capath=None, cadefault=False, context=None) \nOpen the URL url, which can be either a string or a Request object. data must be an object specifying additional data to be sent to the server, or... |
22,676 | def f_22676(url):
return | requests.get(url) |
import requests
def check(candidate): | [
"\n assert candidate(\"https://github.com/\").url == \"https://github.com/\"\n",
"\n assert candidate(\"https://google.com/\").url == \"https://www.google.com/\"\n"
] | f_22676 | download a file `url` over HTTP | [
"requests"
] | [] | |
22,676 | def f_22676(url):
|
return |
response = requests.get(url, stream=True)
with open('10MB', 'wb') as handle:
for data in response.iter_content():
handle.write(data)
|
import requests
def check(candidate): | [
"\n candidate(\"https://github.com/\")\n with open(\"10MB\", 'rb') as fr: \n all_data = [data for data in fr]\n assert all_data[: 2] == [b'\\n', b'\\n']\n"
] | f_22676 | download a file `url` over HTTP and save to "10MB" | [
"requests"
] | [] |
15,405,636 | def f_15405636(parser):
return | parser.add_argument('--version', action='version', version='%(prog)s 2.0') |
import argparse
def check(candidate): | [
"\n parser = argparse.ArgumentParser()\n output = candidate(parser)\n assert output.option_strings == ['--version']\n assert output.dest == 'version'\n assert output.nargs == 0\n"
] | f_15405636 | argparse add argument with flag '--version' and version action of '%(prog)s 2.0' to parser `parser` | [
"argparse"
] | [
{
"function": "parser.add_argument",
"text": "ArgumentParser.add_argument(name or flags...[, action][, nargs][, const][, default][, type][, choices][, required][, help][, metavar][, dest]) \nDefine how a single command-line argument should be parsed. Each parameter has its own more detailed description bel... | |
17,665,809 | def f_17665809(d):
return | {i: d[i] for i in d if i != 'c'} |
def check(candidate): | [
"\n assert candidate({'a': 1 , 'b': 2, 'c': 3}) == {'a': 1 , 'b': 2}\n",
"\n assert candidate({'c': None}) == {}\n",
"\n assert candidate({'a': 1 , 'b': 2, 'c': 3}) != {'a': 1 , 'b': 2, 'c': 3}\n",
"\n assert candidate({'c': 1, 'cc': 2, 'ccc':3}) == {'cc': 2, 'ccc':3}\n",
"\n assert 'c' not i... | f_17665809 | remove key 'c' from dictionary `d` | [] | [] | |
41,861,705 | def f_41861705(split_df, csv_df):
return | pd.merge(split_df, csv_df, on=['key'], suffixes=('_left', '_right')) |
import pandas as pd
def check(candidate): | [
"\n split_df = pd.DataFrame({'key': ['foo', 'bar'], 'value': [1, 2]})\n csv_df = pd.DataFrame({'key': ['foo', 'baz'], 'value': [3, 4]})\n result = pd.DataFrame({'key': ['foo'], 'value_left': [1],'value_right': [3]})\n assert all(candidate(csv_df, split_df) == result)\n"
] | f_41861705 | Create new DataFrame object by merging columns "key" of dataframes `split_df` and `csv_df` and rename the columns from dataframes `split_df` and `csv_df` with suffix `_left` and `_right` respectively | [
"pandas"
] | [
{
"function": "pandas.merge",
"text": "pandas.merge pandas.merge(left, right, how='inner', on=None, left_on=None, right_on=None, left_index=False, right_index=False, sort=False, suffixes=('_x', '_y'), copy=True, indicator=False, validate=None)[source]\n \nMerge DataFrame or named Series objects with a dat... | |
10,697,757 | def f_10697757(s):
return | s.split(' ', 4) |
def check(candidate): | [
"\n assert candidate('1 0 A10B 100 Description: This is a description with spaces') == ['1', '0', 'A10B', '100', 'Description: This is a description with spaces']\n",
"\n assert candidate('this-is-a-continuous-sequence') == ['this-is-a-continuous-sequence']\n",
"\n assert candidate('') == ['']\... | f_10697757 | Split a string `s` by space with `4` splits | [] | [] | |
16,344,756 | def f_16344756(app):
return | app.run(debug=True) |
from flask import Flask
from unittest.mock import Mock
def check(candidate): | [
"\n Flask = Mock()\n app = Flask('mai')\n try:\n candidate(app)\n except:\n return False\n"
] | f_16344756 | enable debug mode on Flask application `app` | [
"flask"
] | [
{
"function": "app.run",
"text": "run(host=None, port=None, debug=None, load_dotenv=True, **options) \nRuns the application on a local development server. Do not use run() in a production setting. It is not intended to meet security and performance requirements for a production server. Instead, see Deploym... | |
40,133,826 | def f_40133826(mylist):
|
return | pickle.dump(mylist, open('save.txt', 'wb')) |
import pickle
def check(candidate): | [
"\n candidate([i for i in range(10)])\n data = pickle.load(open('save.txt', 'rb'))\n assert data == [i for i in range(10)]\n",
"\n candidate([\"hello\", \"world\", \"!\"])\n data = pickle.load(open('save.txt', 'rb'))\n assert data == [\"hello\", \"world\", \"!\"]\n"
] | f_40133826 | python save list `mylist` to file object 'save.txt' | [
"pickle"
] | [
{
"function": "pickle.dump",
"text": "pickle.dump(obj, file, protocol=None, *, fix_imports=True, buffer_callback=None) \nWrite the pickled representation of the object obj to the open file object file. This is equivalent to Pickler(file, protocol).dump(obj). Arguments file, protocol, fix_imports and buffer... |
4,490,961 | def f_4490961(P, T):
return | scipy.tensordot(P, T, axes=[1, 1]).swapaxes(0, 1) |
import scipy
import numpy as np
def check(candidate): | [
"\n P = np.array([[6, 2, 7], [1, 1, 8], [8, 7, 1], [9, 6, 4], [2, 1, 1]])\n T = np.array([[[9, 7, 2, 3], [9, 6, 8, 2], [6, 6, 2, 8]],\n [[4, 5, 5, 3], [1, 8, 3, 5], [2, 8, 1, 6]]])\n result = np.array([[[114, 96, 42, 78], [ 66, 61, 26, 69], [141, 104, 74, 46], [159, 123, 74, 71],... | f_4490961 | Multiply a matrix `P` with a 3d tensor `T` in scipy | [
"numpy",
"scipy"
] | [] | |
2,173,087 | def f_2173087():
return | numpy.zeros((3, 3, 3)) |
import numpy
import numpy as np
def check(candidate): | [
"\n result = np.array([[[0., 0., 0.], [0., 0., 0.], [0., 0., 0.]],\n [[0., 0., 0.], [0., 0., 0.], [0., 0., 0.]],\n [[0., 0., 0.], [0., 0., 0.], [0., 0., 0.]]])\n assert np.array_equal(candidate(), result)\n"
] | f_2173087 | Create 3d array of zeroes of size `(3,3,3)` | [
"numpy"
] | [
{
"function": "numpy.zeros",
"text": "numpy.zeros numpy.zeros(shape, dtype=float, order='C', *, like=None)\n \nReturn a new array of given shape and type, filled with zeros. Parameters ",
"title": "numpy.reference.generated.numpy.zeros"
}
] | |
6,266,727 | def f_6266727(content):
return | """ """.join(content.split(' ')[:-1]) |
def check(candidate): | [
"\n assert candidate('test') == ''\n",
"\n assert candidate('this is an example content') == 'this is an example'\n",
"\n assert candidate(' ') == ' '\n",
"\n assert candidate('') == ''\n",
"\n assert candidate('blank and tab\t') == 'blank and'\n"
] | f_6266727 | cut off the last word of a sentence `content` | [] | [] | |
30,385,151 | def f_30385151(x):
|
return x | x = np.asarray(x).reshape(1, -1)[(0), :] |
import numpy as np
def check(candidate): | [
"\n assert all(candidate(1.) == np.asarray(1.))\n",
"\n assert all(candidate(123) == np.asarray(123))\n",
"\n assert all(candidate('a') == np.asarray('a'))\n",
"\n assert all(candidate(False) == np.asarray(False))\n"
] | f_30385151 | convert scalar `x` to array | [
"numpy"
] | [
{
"function": "numpy.asarray",
"text": "numpy.asarray numpy.asarray(a, dtype=None, order=None, *, like=None)\n \nConvert the input to an array. Parameters ",
"title": "numpy.reference.generated.numpy.asarray"
},
{
"function": "numpy.reshape",
"text": "numpy.reshape numpy.reshape(a, news... |
15,856,127 | def f_15856127(L):
return | sum(sum(i) if isinstance(i, list) else i for i in L) |
def check(candidate): | [
"\n assert candidate([1,2,3,4]) == 10\n",
"\n assert candidate([[1],[2],[3],[4]]) == 10\n",
"\n assert candidate([1,1,1,1]) == 4\n",
"\n assert candidate([1,[2,3],[4]]) == 10\n",
"\n assert candidate([]) == 0\n",
"\n assert candidate([[], []]) == 0\n"
] | f_15856127 | sum all elements of nested list `L` | [] | [] | |
1,592,158 | def f_1592158():
return | struct.unpack('!f', bytes.fromhex('470FC614'))[0] |
import struct
def check(candidate): | [
"\n assert (candidate() - 36806.078125) < 1e-6\n",
"\n assert (candidate() - 32806.079125) > 1e-6\n"
] | f_1592158 | convert hex string '470FC614' to a float number | [
"struct"
] | [
{
"function": "struct.unpack",
"text": "struct.unpack(format, buffer) \nUnpack from the buffer buffer (presumably packed by pack(format, ...)) according to the format string format. The result is a tuple even if it contains exactly one item. The buffer’s size in bytes must match the size required by the fo... | |
5,010,536 | def f_5010536(my_dict):
|
return my_dict | my_dict.update((x, y * 2) for x, y in list(my_dict.items())) |
def check(candidate): | [
"\n assert candidate({'a': [1], 'b': 4.9}) == {'a': [1, 1], 'b': 9.8}\n",
"\n assert candidate({1:1}) == {1:2}\n",
"\n assert candidate({(1,2):[1]}) == {(1,2):[1,1]}\n",
"\n assert candidate({'asd':0}) == {'asd':0}\n",
"\n assert candidate({}) == {}\n"
] | f_5010536 | Multiple each value by `2` for all keys in a dictionary `my_dict` | [] | [] |
13,745,648 | def f_13745648():
return | subprocess.call('sleep.sh', shell=True) |
import subprocess
from unittest.mock import Mock
def check(candidate): | [
"\n subprocess.call = Mock()\n try:\n candidate()\n except:\n assert False\n"
] | f_13745648 | running bash script 'sleep.sh' | [
"subprocess"
] | [
{
"function": "subprocess.call",
"text": "subprocess.call(args, *, stdin=None, stdout=None, stderr=None, shell=False, cwd=None, timeout=None, **other_popen_kwargs) \nRun the command described by args. Wait for command to complete, then return the returncode attribute. Code needing to capture stdout or stde... | |
44,778 | def f_44778(l):
return | """,""".join(l) |
def check(candidate): | [
"\n assert candidate(['a','b','c']) == 'a,b,c'\n",
"\n assert candidate(['a','b']) == 'a,b'\n",
"\n assert candidate([',',',',',']) == ',,,,,'\n",
"\n assert candidate([' ',' ','c']) == ' , ,c'\n",
"\n assert candidate([]) == ''\n"
] | f_44778 | Join elements of list `l` with a comma `,` | [] | [] | |
44,778 | def f_44778(myList):
|
return myList | myList = ','.join(map(str, myList)) |
def check(candidate): | [
"\n assert candidate([1,2,3]) == '1,2,3'\n",
"\n assert candidate([1,2,'a']) == '1,2,a'\n",
"\n assert candidate([]) == ''\n",
"\n assert candidate(['frg',3253]) == 'frg,3253'\n"
] | f_44778 | make a comma-separated string from a list `myList` | [] | [] |
7,286,365 | def f_7286365():
return | list(reversed(list(range(10)))) |
def check(candidate): | [
"\n assert candidate() == [9,8,7,6,5,4,3,2,1,0]\n",
"\n assert len(candidate()) == 10\n",
"\n assert min(candidate()) == 0\n",
"\n assert type(candidate()) == list\n",
"\n assert type(candidate()[-2]) == int\n"
] | f_7286365 | reverse the list that contains 1 to 10 | [] | [] | |
18,454,570 | def f_18454570():
return | 'lamp, bag, mirror'.replace('bag,', '') |
def check(candidate): | [
"\n assert candidate() == 'lamp, mirror'\n assert type(candidate()) == str\n assert len(candidate()) == 13\n assert candidate().startswith('lamp')\n"
] | f_18454570 | remove substring 'bag,' from a string 'lamp, bag, mirror' | [] | [] | |
4,357,787 | def f_4357787(s):
return | """.""".join(s.split('.')[::-1]) |
def check(candidate): | [
"\n assert candidate('apple.orange.red.green.yellow') == 'yellow.green.red.orange.apple'\n",
"\n assert candidate('apple') == 'apple'\n",
"\n assert candidate('apple.orange') == 'orange.apple'\n",
"\n assert candidate('123.456') == '456.123'\n",
"\n assert candidate('.') == '.'\n"
] | f_4357787 | Reverse the order of words, delimited by `.`, in string `s` | [] | [] | |
21,787,496 | def f_21787496(s):
return | datetime.datetime.fromtimestamp(s).strftime('%Y-%m-%d %H:%M:%S.%f') |
import time
import datetime
def check(candidate): | [
"\n assert candidate(1236472) == '1970-01-15 07:27:52.000000'\n",
"\n assert candidate(0) == '1970-01-01 00:00:00.000000'\n",
"\n assert candidate(5.3) == '1970-01-01 00:00:05.300000'\n"
] | f_21787496 | convert epoch time represented as milliseconds `s` to string using format '%Y-%m-%d %H:%M:%S.%f' | [
"datetime",
"time"
] | [
{
"function": "datetime.fromtimestamp",
"text": "classmethod datetime.fromtimestamp(timestamp, tz=None) \nReturn the local date and time corresponding to the POSIX timestamp, such as is returned by time.time(). If optional argument tz is None or not specified, the timestamp is converted to the platform’s l... | |
21,787,496 | def f_21787496():
return | time.strftime('%Y-%m-%d %H:%M:%S', time.gmtime(1236472051807 / 1000.0)) |
import time
def check(candidate): | [
"\n assert candidate() == '2009-03-08 00:27:31'\n"
] | f_21787496 | parse milliseconds epoch time '1236472051807' to format '%Y-%m-%d %H:%M:%S' | [
"time"
] | [
{
"function": "time.strftime",
"text": "time.strftime(format[, t]) \nConvert a tuple or struct_time representing a time as returned by gmtime() or localtime() to a string as specified by the format argument. If t is not provided, the current time as returned by localtime() is used. format must be a string.... | |
20,573,459 | def f_20573459():
return | (datetime.datetime.now() - datetime.timedelta(days=7)).date() |
import datetime
def check(candidate): | [
"\n assert datetime.datetime.now().date() - candidate() < datetime.timedelta(days = 7, seconds = 1)\n",
"\n assert datetime.datetime.now().date() - candidate() >= datetime.timedelta(days = 7)\n"
] | f_20573459 | get the date 7 days before the current date | [
"datetime"
] | [
{
"function": "datetime.now",
"text": "classmethod datetime.now(tz=None) \nReturn the current local date and time. If optional argument tz is None or not specified, this is like today(), but, if possible, supplies more precision than can be gotten from going through a time.time() timestamp (for example, th... | |
15,352,457 | def f_15352457(column, data):
return | sum(row[column] for row in data) |
def check(candidate): | [
"\n assert candidate(1, [[1,2,3], [4,5,6]]) == 7\n",
"\n assert candidate(0, [[1,1,1], [0,1,1]]) == 1\n",
"\n assert candidate(5, [[1,1,1,1,1,2], [0,1,1,1,1,1,1,1,1,1,1]]) == 3\n",
"\n assert candidate(0, [[1],[2],[3],[4]]) == 10\n"
] | f_15352457 | sum elements at index `column` of each list in list `data` | [] | [] | |
15,352,457 | def f_15352457(array):
return | [sum(row[i] for row in array) for i in range(len(array[0]))] |
def check(candidate): | [
"\n assert candidate([[1,2,3], [4,5,6]]) == [5, 7, 9]\n",
"\n assert candidate([[1,1,1], [0,1,1]]) == [1, 2, 2]\n",
"\n assert candidate([[1,1,1,1,1,2], [0,1,1,1,1,1,1,1,1,1,1]]) == [1, 2, 2, 2, 2, 3]\n",
"\n assert candidate([[1],[2],[3],[4]]) == [10]\n"
] | f_15352457 | sum columns of a list `array` | [] | [] | |
23,164,058 | def f_23164058():
return | base64.b64encode(bytes('your string', 'utf-8')) |
import base64
def check(candidate): | [
"\n assert candidate() == b'eW91ciBzdHJpbmc='\n"
] | f_23164058 | encode binary string 'your string' to base64 code | [
"base64"
] | [
{
"function": "base64.b64encode",
"text": "base64.b64encode(s, altchars=None) \nEncode the bytes-like object s using Base64 and return the encoded bytes. Optional altchars must be a bytes-like object of at least length 2 (additional characters are ignored) which specifies an alternative alphabet for the + ... | |
11,533,274 | def f_11533274(dicts):
return | dict((k, [d[k] for d in dicts]) for k in dicts[0]) |
def check(candidate): | [
"\n assert candidate([{'cat': 1, 'dog': 3}, {'cat' : 2, 'dog': ['happy']}]) == {'cat': [1, 2], 'dog': [3, ['happy']]}\n",
"\n assert candidate([{'cat': 1}, {'cat' : 2}]) != {'cat': 3}\n"
] | f_11533274 | combine list of dictionaries `dicts` with the same keys in each list to a single dictionary | [] | [] | |
11,533,274 | def f_11533274(dicts):
return | {k: [d[k] for d in dicts] for k in dicts[0]} |
def check(candidate): | [
"\n assert candidate([{'cat': 1, 'dog': 3}, {'cat' : 2, 'dog': ['happy']}]) == {'cat': [1, 2], 'dog': [3, ['happy']]}\n",
"\n assert candidate([{'cat': 1}, {'cat' : 2}]) != {'cat': 3}\n"
] | f_11533274 | Merge a nested dictionary `dicts` into a flat dictionary by concatenating nested values with the same key `k` | [] | [] | |
14,026,704 | def f_14026704(request):
return | request.args['myParam'] |
import multidict
class Request:
def __init__(self, args):
self.args = args
def check(candidate): | [
"\n args = multidict.MultiDict([('myParam' , 'popeye')])\n request = Request(args)\n assert candidate(request) == 'popeye'\n"
] | f_14026704 | get the url parameter 'myParam' in a Flask view | [
"multidict"
] | [] | |
11,236,006 | def f_11236006(mylist):
return | [k for k, v in list(Counter(mylist).items()) if v > 1] |
from collections import Counter
def check(candidate): | [
"\n assert candidate([1,3,2,2,1,4]) == [1, 2]\n",
"\n assert candidate([1,3,2,2,1,4]) != [3,4]\n",
"\n assert candidate([]) == []\n",
"\n assert candidate([1,1,1,1,1]) == [1]\n",
"\n assert candidate([1.,1.,1.]) == [1.]\n"
] | f_11236006 | identify duplicate values in list `mylist` | [
"collections"
] | [
{
"function": "collections.Counter",
"text": "class collections.Counter([iterable-or-mapping]) \nA Counter is a dict subclass for counting hashable objects. It is a collection where elements are stored as dictionary keys and their counts are stored as dictionary values. Counts are allowed to be any integer... | |
20,211,942 | def f_20211942(db):
return | db.execute("INSERT INTO present VALUES('test2', ?, 10)", (None,)) |
import sqlite3
def check(candidate): | [
"\n sqliteConnection = sqlite3.connect('dev.db')\n db = sqliteConnection.cursor()\n print(\"Database created and Successfully Connected to SQLite\")\n db.execute(\"CREATE TABLE present (name VARCHAR(5), age INTEGER, height INTEGER)\")\n try:\n candidate(db)\n except:\n assert False\n... | f_20211942 | Insert a 'None' value into a SQLite3 table. | [
"sqlite3"
] | [
{
"function": "db.execute",
"text": "execute(sql[, parameters]) \nThis is a nonstandard shortcut that creates a cursor object by calling the cursor() method, calls the cursor’s execute() method with the parameters given, and returns the cursor.",
"title": "python.library.sqlite3#sqlite3.Connection.exec... | |
406,121 | def f_406121(list_of_menuitems):
return | [image for menuitem in list_of_menuitems for image in menuitem] |
from collections import Counter
def check(candidate): | [
"\n assert candidate([[1,2],[3,4,5]]) == [1,2,3,4,5]\n",
"\n assert candidate([[],[]]) == []\n",
"\n assert candidate([[1,1,1], []]) == [1,1,1]\n",
"\n assert candidate([['1'],['2']]) == ['1','2']\n"
] | f_406121 | flatten list `list_of_menuitems` | [
"collections"
] | [] | |
4,741,537 | def f_4741537(a, b):
|
return a | a.extend(b) |
def check(candidate): | [
"\n assert candidate([1, 2, 2, 3], {4, 5, 2}) == [1, 2, 2, 3, 2, 4, 5]\n",
"\n assert candidate([], {4,5,2}) == [2,4,5]\n",
"\n assert candidate([1,2,3,4],{2}) == [1,2,3,4,2]\n",
"\n assert candidate([1], {'a'}) == [1, 'a']\n"
] | f_4741537 | append elements of a set `b` to a list `a` | [] | [] |
15,851,568 | def f_15851568(x):
return | x.rpartition('-')[0] |
def check(candidate): | [
"\n assert candidate('djhajhdjk-dadwqd-dahdjkahsk') == 'djhajhdjk-dadwqd'\n",
"\n assert candidate('/-/') == '/'\n",
"\n assert candidate('---') == '--'\n",
"\n assert candidate('') == ''\n"
] | f_15851568 | Split a string `x` by last occurrence of character `-` | [] | [] | |
15,851,568 | def f_15851568(x):
return | x.rsplit('-', 1)[0] |
def check(candidate): | [
"\n assert candidate('2022-03-01') == '2022-03'\n",
"\n assert candidate('2020-2022') == '2020'\n"
] | f_15851568 | get the last part of a string before the character '-' | [] | [] | |
17,438,096 | def f_17438096(filename, ftp):
|
return | ftp.storlines('STOR ' + filename, open(filename, 'r')) |
import ftplib
from unittest.mock import Mock
def check(candidate): | [
"\n ftplib.FTP = Mock()\n ftp = ftplib.FTP(\"10.10.10.10\")\n ftp.storlines = Mock()\n file_name = 'readme.txt'\n with open (file_name, 'a') as f:\n f.write('apple')\n candidate(file_name, ftp)\n"
] | f_17438096 | upload file using FTP | [
"ftplib"
] | [
{
"function": "ftp.storlines",
"text": "FTP.storlines(cmd, fp, callback=None) \nStore a file in line mode. cmd should be an appropriate STOR command (see storbinary()). Lines are read until EOF from the file object fp (opened in binary mode) using its readline() method to provide the data to be stored. cal... |
28,742,436 | def f_28742436():
return | np.maximum([2, 3, 4], [1, 5, 2]) |
import numpy as np
def check(candidate): | [
"\n assert all(candidate() == np.array([2, 5, 4]))\n"
] | f_28742436 | create array containing the maximum value of respective elements of array `[2, 3, 4]` and array `[1, 5, 2]` | [
"numpy"
] | [
{
"function": "numpy.maximum",
"text": "numpy.maximum numpy.maximum(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'maximum'>\n \nElement-wise maximum of array elements. Compare two arrays and returns a new array containing the ele... | |
34,280,147 | def f_34280147(l):
return | l[3:] + l[:3] |
def check(candidate): | [
"\n assert candidate(\"my-string\") == \"stringmy-\"\n",
"\n assert candidate(\"my \") == \"my \"\n",
"\n assert candidate(\"n;ho0-4w606[q\") == \"o0-4w606[qn;h\"\n"
] | f_34280147 | print a list `l` and move first 3 elements to the end of the list | [] | [] | |
4,172,131 | def f_4172131():
return | [int(1000 * random.random()) for i in range(10000)] |
import random
def check(candidate): | [
"\n result = candidate()\n assert isinstance(result, list)\n assert all([isinstance(item, int) for item in result])\n"
] | f_4172131 | create a random list of integers | [
"random"
] | [
{
"function": "random.random",
"text": "random.random() \nReturn the next random floating point number in the range [0.0, 1.0).",
"title": "python.library.random#random.random"
}
] | |
6,677,332 | def f_6677332():
return | datetime.datetime.now().strftime('%H:%M:%S.%f') |
import datetime
def check(candidate): | [
"\n time_now = datetime.datetime.now().strftime('%H:%M:%S.%f')\n assert candidate().split('.')[0] == time_now.split('.')[0]\n"
] | f_6677332 | Using %f with strftime() in Python to get microseconds | [
"datetime"
] | [
{
"function": "datetime.datetime.now",
"text": "classmethod datetime.now(tz=None) \nReturn the current local date and time. If optional argument tz is None or not specified, this is like today(), but, if possible, supplies more precision than can be gotten from going through a time.time() timestamp (for ex... | |
15,325,182 | def f_15325182(df):
return | df.b.str.contains('^f') |
import pandas as pd
def check(candidate): | [
"\n df = pd.DataFrame([[1, 'fat'], [2, 'hip'], [3, 'foo']], columns = ['a', 'b'])\n expected = [True, False, True]\n actual = candidate(df)\n for i in range (0, len(expected)):\n assert expected[i] == actual[i]\n"
] | f_15325182 | filter rows in pandas starting with alphabet 'f' using regular expression. | [
"pandas"
] | [
{
"function": "<ast.name object at 0x7f75ea4c9fc0>.contains",
"text": "pandas.Series.str.contains Series.str.contains(pat, case=True, flags=0, na=None, regex=True)[source]\n \nTest if pattern or regex is contained within a string of a Series or Index. Return boolean Series or Index based on whether a give... | |
583,557 | def f_583557(tab):
return | '\n'.join('\t'.join(str(col) for col in row) for row in tab) |
def check(candidate): | [
"\n assert candidate([[1,2,3],[4,5,6]]) == \"1\\t2\\t3\\n4\\t5\\t6\"\n",
"\n assert candidate([[1, 'x' ,3],[4.4,5,\"six\"]]) == \"1\\tx\\t3\\n4.4\\t5\\tsix\"\n",
"\n assert candidate([]) == \"\"\n",
"\n assert candidate([[],[],[]]) == \"\\n\\n\"\n"
] | f_583557 | print a 2 dimensional list `tab` as a table with delimiters | [] | [] | |
38,535,931 | def f_38535931(df, tuples):
return | df.set_index(list('BC')).drop(tuples, errors='ignore').reset_index() |
import pandas as pd
def check(candidate): | [
"\n df = pd.DataFrame([[3, 4], [4, 5], [-1, -2]], columns = ['B', 'C'])\n tuples = [(3, 4), (-1, -2)]\n expected = pd.DataFrame([[4, 5]], columns = ['B', 'C'])\n actual = candidate(df, tuples)\n assert pd.DataFrame.equals(actual, expected)\n"
] | f_38535931 | pandas: delete rows in dataframe `df` based on multiple columns values | [
"pandas"
] | [
{
"function": "pandas.dataframe.set_index",
"text": "pandas.DataFrame.set_index DataFrame.set_index(keys, drop=True, append=False, inplace=False, verify_integrity=False)[source]\n \nSet the DataFrame index using existing columns. Set the DataFrame index (row labels) using one or more existing columns or a... | |
13,945,749 | def f_13945749(goals, penalties):
return | """({:d} goals, ${:d})""".format(goals, penalties) |
def check(candidate): | [
"\n assert candidate(0, 0) == \"(0 goals, $0)\"\n",
"\n assert candidate(123, 2) == \"(123 goals, $2)\"\n"
] | f_13945749 | format the variables `goals` and `penalties` using string formatting | [] | [] | |
13,945,749 | def f_13945749(goals, penalties):
return | """({} goals, ${})""".format(goals, penalties) |
def check(candidate): | [
"\n assert candidate(0, 0) == \"(0 goals, $0)\"\n",
"\n assert candidate(123, \"???\") == \"(123 goals, $???)\"\n",
"\n assert candidate(\"x\", 0.0) == \"(x goals, $0.0)\"\n"
] | f_13945749 | format string "({} goals, ${})" with variables `goals` and `penalties` | [] | [] | |
18,524,642 | def f_18524642(L):
return | [int(''.join(str(d) for d in x)) for x in L] |
def check(candidate): | [
"\n assert candidate([[1,2], [2,3,4], [1,0,0]]) == [12,234,100]\n",
"\n assert candidate([[1], [2], [3]]) == [1,2,3]\n"
] | f_18524642 | convert list of lists `L` to list of integers | [] | [] | |
18,524,642 | def f_18524642(L):
|
return L | L = [int(''.join([str(y) for y in x])) for x in L] |
def check(candidate): | [
"\n assert candidate([[1,2], [2,3,4], [1,0,0]]) == [12,234,100]\n",
"\n assert candidate([[1], [2], [3]]) == [1,2,3]\n",
"\n assert candidate([[1, 0], [0, 2], [3], [0, 0, 0, 0]]) == [10,2,3, 0]\n"
] | f_18524642 | convert a list of lists `L` to list of integers | [] | [] |
7,138,686 | def f_7138686(lines, myfile):
|
return | myfile.write('\n'.join(lines)) |
def check(candidate): | [
"\n with open('tmp.txt', 'w') as myfile:\n candidate([\"first\", \"second\", \"third\"], myfile)\n with open('tmp.txt', 'r') as fr: \n lines = fr.readlines()\n assert lines == [\"first\\n\", \"second\\n\", \"third\"]\n"
] | f_7138686 | write the elements of list `lines` concatenated by special character '\n' to file `myfile` | [] | [] |
17,238,587 | def f_17238587(text):
|
return text | text = re.sub('\\b(\\w+)( \\1\\b)+', '\\1', text) |
import re
def check(candidate): | [
"\n assert candidate(\"text\") == \"text\"\n",
"\n assert candidate(\"text text\") == \"text\"\n",
"\n assert candidate(\"texttext\") == \"texttext\"\n",
"\n assert candidate(\"text and text\") == \"text and text\"\n"
] | f_17238587 | Remove duplicate words from a string `text` using regex | [
"re"
] | [
{
"function": "re.sub",
"text": "re.sub(pattern, repl, string, count=0, flags=0) \nReturn the string obtained by replacing the leftmost non-overlapping occurrences of pattern in string by the replacement repl. If the pattern isn’t found, string is returned unchanged. repl can be a string or a function; if ... |
26,053,849 | def f_26053849(df):
return | df.astype(bool).sum(axis=1) |
import pandas as pd
def check(candidate): | [
"\n df1 = pd.DataFrame([[0,0,0], [0,1,0], [1,1,1]])\n assert candidate(df1).to_list() == [0, 1, 3]\n",
"\n df2 = pd.DataFrame([[0,0,0], [0,2,0], [1,10,8.9]])\n assert candidate(df1).to_list() == [0, 1, 3]\n",
"\n df2 = pd.DataFrame([[0,0.0,0], [0,2.0,0], [1,10,8.9]])\n assert candidate(df1).to... | f_26053849 | count non zero values in each column in pandas data frame `df` | [
"pandas"
] | [
{
"function": "pandas.dataframe.astype",
"text": "pandas.DataFrame.astype DataFrame.astype(dtype, copy=True, errors='raise')[source]\n \nCast a pandas object to a specified dtype dtype. Parameters ",
"title": "pandas.reference.api.pandas.dataframe.astype"
},
{
"function": "pandas.dataframe.su... | |
15,534,223 | def f_15534223():
return | re.search('(?<!Distillr)\\\\AcroTray\\.exe', 'C:\\SomeDir\\AcroTray.exe') |
import re
def check(candidate): | [
"\n result = candidate()\n assert result.span() == (10, 23)\n assert result.string == \"C:\\SomeDir\\AcroTray.exe\"\n"
] | f_15534223 | search for string that matches regular expression pattern '(?<!Distillr)\\\\AcroTray\\.exe' in string 'C:\\SomeDir\\AcroTray.exe' | [
"re"
] | [
{
"function": "re.search",
"text": "re.search(pattern, string, flags=0) \nScan through string looking for the first location where the regular expression pattern produces a match, and return a corresponding match object. Return None if no position in the string matches the pattern; note that this is differ... | |
5,453,026 | def f_5453026():
return | """QH QD JC KD JS""".split() |
def check(candidate): | [
"\n assert candidate() == [\"QH\", \"QD\", \"JC\", \"KD\", \"JS\"]\n"
] | f_5453026 | split string 'QH QD JC KD JS' into a list on white spaces | [] | [] | |
18,168,684 | def f_18168684(line):
return | re.search('>.*<', line).group(0) |
import re
def check(candidate): | [
"\n assert candidate(\"hahhdsf>0.0<;sgnd\") == \">0.0<\"\n",
"\n assert candidate(\"hahhdsf>2.34<;xbnfm\") == \">2.34<\"\n"
] | f_18168684 | search for occurrences of regex pattern '>.*<' in xml string `line` | [
"re"
] | [
{
"function": "re.search",
"text": "re.search(pattern, string, flags=0) \nScan through string looking for the first location where the regular expression pattern produces a match, and return a corresponding match object. Return None if no position in the string matches the pattern; note that this is differ... | |
4,914,277 | def f_4914277(filename):
return | open(filename, 'w').close() |
def check(candidate): | [
"\n filename = 'tmp.txt'\n with open(filename, 'w') as fw: fw.write(\"hello world!\")\n with open(filename, 'r') as fr: \n lines = fr.readlines()\n assert len(lines) == 1 and lines[0] == \"hello world!\"\n candidate(filename)\n with open(filename, 'r') as fr: \n lines = fr.readli... | f_4914277 | erase all the contents of a file `filename` | [] | [] | |
19,068,269 | def f_19068269(string_date):
return | datetime.datetime.strptime(string_date, '%Y-%m-%d %H:%M:%S.%f') |
import datetime
def check(candidate): | [
"\n assert candidate('2022-10-22 11:59:59.20') == datetime.datetime(2022, 10, 22, 11, 59, 59, 200000)\n",
"\n assert candidate('2000-01-01 11:59:59.20') == datetime.datetime(2000, 1, 1, 11, 59, 59, 200000)\n",
"\n assert candidate('1990-09-09 09:59:59.24') == datetime.datetime(1990, 9, 9, 9, 59, 59, 24... | f_19068269 | convert a string `string_date` into datetime using the format '%Y-%m-%d %H:%M:%S.%f' | [
"datetime"
] | [
{
"function": "datetime.strptime",
"text": "classmethod datetime.strptime(date_string, format) \nReturn a datetime corresponding to date_string, parsed according to format. This is equivalent to: datetime(*(time.strptime(date_string, format)[0:6]))\n ValueError is raised if the date_string and format can’t... | |
20,683,167 | def f_20683167(thelist):
return | [index for index, item in enumerate(thelist) if item[0] == '332'] |
def check(candidate): | [
"\n assert candidate([[0,1,2], ['a','bb','ccc'], ['332',33,2], [33,22,332]]) == [2]\n",
"\n assert candidate([[0,1,2], ['332'], ['332'], ['332']]) == [1,2,3]\n",
"\n assert candidate([[0,1,2], [332], [332], [332]]) == []\n"
] | f_20683167 | find the index of a list with the first element equal to '332' within the list of lists `thelist` | [] | [] | |
30,693,804 | def f_30693804(text):
return | re.sub('[^\\sa-zA-Z0-9]', '', text).lower().strip() |
import re
def check(candidate): | [
"\n assert candidate('ABjfK329r0&&*#5t') == 'abjfk329r05t'\n",
"\n assert candidate('jseguwphegoi339yup h') == 'jseguwphegoi339yup h'\n",
"\n assert candidate(' ') == ''\n"
] | f_30693804 | lower a string `text` and remove non-alphanumeric characters aside from space | [
"re"
] | [
{
"function": "re.sub",
"text": "re.sub(pattern, repl, string, count=0, flags=0) \nReturn the string obtained by replacing the leftmost non-overlapping occurrences of pattern in string by the replacement repl. If the pattern isn’t found, string is returned unchanged. repl can be a string or a function; if ... | |
30,693,804 | def f_30693804(text):
return | re.sub('(?!\\s)[\\W_]', '', text).lower().strip() |
import re
def check(candidate): | [
"\n assert candidate('ABjfK329r0&&*#5t') == 'abjfk329r05t'\n",
"\n assert candidate('jseguwphegoi339yup h') == 'jseguwphegoi339yup h'\n",
"\n assert candidate(' ') == ''\n"
] | f_30693804 | remove all non-alphanumeric characters except space from a string `text` and lower it | [
"re"
] | [
{
"function": "re.sub",
"text": "re.sub(pattern, repl, string, count=0, flags=0) \nReturn the string obtained by replacing the leftmost non-overlapping occurrences of pattern in string by the replacement repl. If the pattern isn’t found, string is returned unchanged. repl can be a string or a function; if ... | |
17,138,464 | def f_17138464(x, y):
return | plt.plot(x, y, label='H\u2082O') |
import numpy as np
import matplotlib.pyplot as plt
def check(candidate): | [
"\n pic = candidate(np.array([1,2,3]),np.array([4,5,6]))[0]\n assert pic.get_label() == 'H₂O'\n x, y = pic.get_data()\n assert all(x == np.array([1,2,3]))\n assert all(y == np.array([4,5,6]))\n",
"\n pic = candidate(np.array([6, 7, 899]),np.array([0, 1, 245]))[0]\n assert pic.get_label() == '... | f_17138464 | subscript text 'H20' with '2' as subscripted in matplotlib labels for arrays 'x' and 'y'. | [
"matplotlib",
"numpy"
] | [
{
"function": "plt.plot",
"text": "matplotlib.pyplot.plot matplotlib.pyplot.plot(*args, scalex=True, scaley=True, data=None, **kwargs)[source]\n \nPlot y versus x as lines and/or markers. Call signatures: plot([x], y, [fmt], *, data=None, **kwargs)\nplot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)\n T... | |
17,138,464 | def f_17138464(x, y):
return | plt.plot(x, y, label='$H_2O$') |
import numpy as np
import matplotlib.pyplot as plt
def check(candidate): | [
"\n pic = candidate(np.array([1,2,3]),np.array([4,5,6]))[0]\n assert pic.get_label() == '$H_2O$'\n x, y = pic.get_data()\n assert all(x == np.array([1,2,3]))\n assert all(y == np.array([4,5,6]))\n",
"\n pic = candidate(np.array([6, 7, 899]),np.array([0, 1, 245]))[0]\n assert pic.get_label() =... | f_17138464 | subscript text 'H20' with '2' as subscripted in matplotlib labels for arrays 'x' and 'y'. | [
"matplotlib",
"numpy"
] | [
{
"function": "plt.plot",
"text": "matplotlib.pyplot.plot matplotlib.pyplot.plot(*args, scalex=True, scaley=True, data=None, **kwargs)[source]\n \nPlot y versus x as lines and/or markers. Call signatures: plot([x], y, [fmt], *, data=None, **kwargs)\nplot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)\n T... | |
9,138,112 | def f_9138112(mylist):
return | [x for x in mylist if len(x) == 3] |
def check(candidate): | [
"\n assert candidate([[1,2,3], 'abc', [345,53], 'avsvasf']) == [[1,2,3], 'abc']\n",
"\n assert candidate([[435,654.4,45,2],[34,34,757,65,32423]]) == []\n"
] | f_9138112 | loop over a list `mylist` if sublists length equals 3 | [] | [] | |
1,807,026 | def f_1807026():
|
return lst | lst = [Object() for _ in range(100)] |
class Object():
def __init__(self):
self.name = "object"
def check(candidate): | [
"\n lst = candidate()\n assert all([x.name == \"object\" for x in lst])\n"
] | f_1807026 | initialize a list `lst` of 100 objects Object() | [] | [] |
13,793,321 | def f_13793321(df1, df2):
return | df1.merge(df2, on='Date_Time') |
import pandas as pd
def check(candidate): | [
"\n df1 = pd.DataFrame([[1, 2, 3]], columns=[\"Date\", \"Time\", \"Date_Time\"])\n df2 = pd.DataFrame([[1, 3],[4, 9]], columns=[\"Name\", \"Date_Time\"])\n assert candidate(df1, df2).to_dict() == {'Date': {0: 1}, 'Time': {0: 2}, 'Date_Time': {0: 3}, 'Name': {0: 1}}\n"
] | f_13793321 | joining data from dataframe `df1` with data from dataframe `df2` based on matching values of column 'Date_Time' in both dataframes | [
"pandas"
] | [
{
"function": "df1.merge",
"text": "pandas.DataFrame.merge DataFrame.merge(right, how='inner', on=None, left_on=None, right_on=None, left_index=False, right_index=False, sort=False, suffixes=('_x', '_y'), copy=True, indicator=False, validate=None)[source]\n \nMerge DataFrame or named Series objects with a... | |
3,367,288 | def f_3367288(str1):
return | 'first string is: %s, second one is: %s' % (str1, 'geo.tif') |
def check(candidate): | [
"\n assert candidate(\"s001\") == \"first string is: s001, second one is: geo.tif\"\n",
"\n assert candidate(\"\") == \"first string is: , second one is: geo.tif\"\n",
"\n assert candidate(\" \") == \"first string is: , second one is: geo.tif\"\n"
] | f_3367288 | use `%s` operator to print variable values `str1` inside a string | [] | [] | |
3,475,251 | def f_3475251():
return | [x.strip() for x in '2.MATCHES $$TEXT$$ STRING'.split('$$TEXT$$')] |
def check(candidate): | [
"\n assert candidate() == ['2.MATCHES', 'STRING']\n"
] | f_3475251 | Split a string '2.MATCHES $$TEXT$$ STRING' by a delimiter '$$TEXT$$' | [] | [] | |
273,192 | def f_273192(directory):
|
return | if (not os.path.exists(directory)):
os.makedirs(directory) |
import os
def check(candidate): | [
"\n candidate(\"hello\")\n assert os.path.exists(\"hello\")\n",
"\n candidate(\"_some_dir\")\n assert os.path.exists(\"_some_dir\")\n"
] | f_273192 | check if directory `directory ` exists and create it if necessary | [
"os"
] | [
{
"function": "os.exists",
"text": "os.path.exists(path) \nReturn True if path refers to an existing path or an open file descriptor. Returns False for broken symbolic links. On some platforms, this function may return False if permission is not granted to execute os.stat() on the requested file, even if t... |
273,192 | def f_273192(path):
|
return | try:
os.makedirs(path)
except OSError:
if (not os.path.isdir(path)):
raise |
import os
def check(candidate): | [
"\n candidate(\"hello\")\n assert os.path.exists(\"hello\")\n",
"\n candidate(\"_some_dir\")\n assert os.path.exists(\"_some_dir\")\n"
] | f_273192 | check if a directory `path` exists and create it if necessary | [
"os"
] | [
{
"function": "os.isdir",
"text": "os.path.isdir(path) \nReturn True if path is an existing directory. This follows symbolic links, so both islink() and isdir() can be true for the same path. Changed in version 3.6: Accepts a path-like object.",
"title": "python.library.os.path#os.path.isdir"
},
{... |
273,192 | def f_273192(path):
|
return | try:
os.makedirs(path)
except OSError as exception:
if (exception.errno != errno.EEXIST):
raise |
import os
def check(candidate): | [
"\n candidate(\"hello\")\n assert os.path.exists(\"hello\")\n",
"\n candidate(\"_some_dir\")\n assert os.path.exists(\"_some_dir\")\n"
] | f_273192 | check if a directory `path` exists and create it if necessary | [
"os"
] | [
{
"function": "os.makedirs",
"text": "os.makedirs(name, mode=0o777, exist_ok=False) \nRecursive directory creation function. Like mkdir(), but makes all intermediate-level directories needed to contain the leaf directory. The mode parameter is passed to mkdir() for creating the leaf directory; see the mkdi... |
18,785,032 | def f_18785032(text):
return | re.sub('\\bH3\\b', 'H1', text) |
import re
def check(candidate): | [
"\n assert candidate(\"hello world and H3\") == \"hello world and H1\"\n",
"\n assert candidate(\"hello world and H1\") == \"hello world and H1\"\n",
"\n assert candidate(\"hello world!\") == \"hello world!\"\n"
] | f_18785032 | Replace a separate word 'H3' by 'H1' in a string 'text' | [
"re"
] | [
{
"function": "re.sub",
"text": "re.sub(pattern, repl, string, count=0, flags=0) \nReturn the string obtained by replacing the leftmost non-overlapping occurrences of pattern in string by the replacement repl. If the pattern isn’t found, string is returned unchanged. repl can be a string or a function; if ... | |
1,450,897 | def f_1450897():
return | re.sub('\\D', '', 'aas30dsa20') |
import re
def check(candidate): | [
"\n assert candidate() == \"3020\"\n"
] | f_1450897 | substitute ASCII letters in string 'aas30dsa20' with empty string '' | [
"re"
] | [
{
"function": "re.sub",
"text": "re.sub(pattern, repl, string, count=0, flags=0) \nReturn the string obtained by replacing the leftmost non-overlapping occurrences of pattern in string by the replacement repl. If the pattern isn’t found, string is returned unchanged. repl can be a string or a function; if ... | |
1,450,897 | def f_1450897():
return | """""".join([x for x in 'aas30dsa20' if x.isdigit()]) |
def check(candidate): | [
"\n assert candidate() == \"3020\"\n"
] | f_1450897 | get digits only from a string `aas30dsa20` using lambda function | [] | [] | |
14,435,268 | def f_14435268(soup):
return | soup.find('name').string |
from bs4 import BeautifulSoup
def check(candidate): | [
"\n content = \"<contact><name>LastName</name><lastName>FirstName</lastName><phone>+90 333 12345</phone></contact>\"\n soup = BeautifulSoup(content)\n assert candidate(soup) == \"LastName\"\n",
"\n content = \"<name>hello world!</name>\"\n soup = BeautifulSoup(content)\n assert candidate(soup) =... | f_14435268 | access a tag called "name" in beautifulsoup `soup` | [
"bs4"
] | [] | |
20,180,210 | def f_20180210(A, B):
return | np.concatenate((A, B)) |
import numpy as np
def check(candidate): | [
"\n A = np.array([1,2])\n B = np.array([3,4])\n assert np.allclose(candidate(A, B), np.array([1,2,3,4]))\n",
"\n A = np.array([[1,2]])\n B = np.array([[3,4]])\n assert np.allclose(candidate(A, B), np.array([[1,2],[3,4]]))\n",
"\n A = np.array([[1],[2]])\n B = np.array([[3],[4]])\n ass... | f_20180210 | Create new matrix object by concatenating data from matrix A and matrix B | [
"numpy"
] | [
{
"function": "numpy.concatenate",
"text": "numpy.concatenate numpy.concatenate((a1, a2, ...), axis=0, out=None, dtype=None, casting=\"same_kind\")\n \nJoin a sequence of arrays along an existing axis. Parameters ",
"title": "numpy.reference.generated.numpy.concatenate"
}
] | |
20,180,210 | def f_20180210(A, B):
return | np.vstack((A, B)) |
import numpy as np
def check(candidate): | [
"\n A = np.array([1,2])\n B = np.array([3,4])\n assert np.allclose(candidate(A, B), np.array([[1,2],[3,4]]))\n",
"\n A = np.array([[1,2]])\n B = np.array([[3,4]])\n assert np.allclose(candidate(A, B), np.array([[1,2],[3,4]]))\n",
"\n A = np.array([[1],[2]])\n B = np.array([[3],[4]])\n ... | f_20180210 | concat two matrices `A` and `B` in numpy | [
"numpy"
] | [
{
"function": "numpy.vstack",
"text": "numpy.vstack numpy.vstack(tup)[source]\n \nStack arrays in sequence vertically (row wise). This is equivalent to concatenation along the first axis after 1-D arrays of shape (N,) have been reshaped to (1,N). Rebuilds arrays divided by vsplit. This function makes most... |
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in Data Studio
ODEX dataset annotated with the ground-truth library documentation, to enable evaluations for retrieval and retrieval-augmented code generation.
Please refer to [code-rag-bench] for more details.
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