benchmarks.wiki / Public workspace
..·::-==++*********++==-::·.. ..·:--==+++++==--::··........·::-=+**#%@@@@%#*+=-:·
..···::-----===------:::··... ..···::::::::::···........··::--==++@@@@@@%#*+=-:·.
......············....... ..........................·····:**@@@@@@%#*+=-:·.
·:++@@@@@@%#*+=-:·.
··==######*++=-:·..
..--+++====--::··.
..··:::::::····...
...............
......·····::::::::····..... ...............
...............····:::--==+++++++++==--:::···..........·····:::::::·····..................
......················:::--=++*##%%%@%%%##**+==---::::::::----=======----:::··········:::·····...
..·:--=+**##%%%%%#**+=-:·. ..·::---===--::··.. ..··:--=++**######*+=-:··.
...···:::---======--::··.. ...········.... ...··::---====%%%%%%#*+=-:·.
.........·······..... .....······++%%@@@@%#*+=-:·.
··==%%%%%%%#*+=-:·.
··--****##**++=-:·.
..::-====++===--:·.
..···::-----::··.
...········..
....··..
.........··················....... ................................ .....
....··:::::::-----===========---::::····........······:::::-----:::::··················...
..···::------====+++****######***++==---:::::::::::---====+++++++====----------=====----::·..
.·:-=+*##%@@@@@%%#*+=-:·. ..··::------::··.. ..···::::----------::··..
..··::--===++++==--:··.. ........... ...·····::::::=======--:··.
.....·········.... ............:-+++++++==-:··.
..--++*****+==-:·.
..::+++**#**+=--:.
..·:===+****++=-:·.
.·:--=++*+++=-:·.
..·::-==++==-:·.
..·:---==--:·.
...···::::::·······..... .........·············..................... ..·::---::·.
..··:-==++++++++++===--::···..... ........····::::---------------::::-----------:::··... .··::::··.
..·::-=+###%%%%@@%%%%##*++=--:···........····:::--===++++++++++++++++++++*****##***++=--:·.. ..·····..
..·::-=+*##%%%%%%##**+==-::··..........··::---=====--::·.. .....·····...
...··::--========---::··.... .....········.... ....······...
....··········..... ..··········...
.·:::::::::··..
..··-----=--::··..
..··-===++==--:··.
..·:==+++*++=--:·.
.··-=++*#**+=-:·.
.·--=+*##**+=-:·.
...···::····.... .........··································..... ..:-=++*#**+=-:·.
..·:-==+***++==--:··... ....····::::-------------------====++++++===--::··... .·:-=+****+=-:·.
.·:-+*#%@@@@@@%##*+=-:··.. ....···::---================+++**##%%%%%%%%#**+=-::·.. ..·:-=+++++=-:·.
..··::--==+++*********+++++=====----------===++********++=--:··. .··::---::·.
...···::::-----------::::::·············:::::------:::···.. .··:::::··.
.........···............. ................. ..···::···.
..·······..
....·······..
...···········..
··::::::::····..
..··-------:::··..
..::==++++=--::·..
.......... ......................·······:::::::::::·····.................:-+*****++=-:··.
.··::-----::··... ......·····:::::::::::::::::---===++++++++++==--:::···.......···:::--**#####*+=-:·.
.·:-=+**##**+=-::·... ....····::::::::::::::::::--==++*##%%%%%%%##*++=--::···.....··::--=++*##%%%%#*=-:·.
..·::-=+++++++==========+++++++++++++++***##%%%@@@@@@@@%##*+==-::····........ .·:-=++***+=-:·.
...·::-------::::::::::::::::::::::::-----=====+++====--:::··................ ··:=++*++=-:·.
....·····..............................··········...... ...... ..·:-+++==-:·.
.··:=====-:·.
.·:------:·.
..·::---::·.
..··:::::··.
....···::···..
..············..
......... ........·····::::::::::·······..................··-:::::::···..
....................................·····............···::---==++++++++===---::::::::::::-----------====---::··..
..····:::·····...............················..........··::-=++**#######**++==--::::::---==++***######***+++=-:··..
.·::--=====----======+++++++++++****##%%@@@@@@@@@@@@@@%##*+++====-------:::··.. .··:-==++**##*+==-:·.
..··:::--:::::······::::::::::::----====++++++++++===--::::···············.... ..··:++**##**+=-:·.
.....··............................············......... .............. ··=+**###*+=-:·.
.·-=+**#**+=-:·.
..:-=+****+=-:·.
.::-=+**++=-:·.
.·::-=+++=--:·.
.·::-===--::·.
.··::----::·..
................. ....·····:::::::··········............. ..····:::::··..
...····:::::::················....... ...··::--===========-----:::::::--------::::·····..····:::···...
...·::::--------------:::::::::···.... ..·::-==++*******+++==--------===+++*******+++==---::::::···...
.··::--=======================+++**##%@@@@@@@@@@@%%###**************+++==--::···.........····:::---===+++**#*++=-:·.
...···::::::::::::::::::::::::----====++++++===----::::::::::::::::::::···.... ....···:::::+++****+==-:·.
...............................·········....... .............. .....:-++*****+=-::·.
..:-+*****++=-:··.
..:-+*****++=-:·..
..:-+*****++=-:·..
..::++****+=--:·.
..::=+++**+=-:··.
.·:==++++=--:·..
....······................. ....················.......... .··--====--:··.
..··:-----------:::::::::::····.... ..··::---=========----::::::::··········..........····------::·...
..·:-==++++++++++++++++++===--::··... ..··:-==++**###***+++==------------=====------::::::::::::::::··..
.··:-==+*+++===---:::::::::--==++***########************####%%%%####***+++===------:::::::···::::--==+**#%%@%#*+=-:·
..··::-----:::::········:::::------------:::::······:::::--------:::::···························::::+**####*+=-:·.
....................................... .............. ................::+++****+=-:··.
..::++++++==-:··.
..--+++++==-:··..
··--++++==-::·..
··--*+++==-:·..
··=-**++==-:·..
··=-**++=-:··.
.....······................ ....·············..... ......····--*++==-:·..
..··::------=========-----:::··.... ....··::--==++++++===---::···.... ...··:::-------++==-:··.
.·::-=+***#####%%%%%%###**+==-::··......··::-=++*##%%%%%%%##**+==--::····............···::--===++++++===-::·.
.·:---===--::·····..·····::---==================++**##%%%%@@@@@%%%%####***+++==---::·······:::-==+**#%%%@@@@%#+=-:·.
..··:::--::::··········:::::::--::::::············:::-------------------::::::::::·············:::--==##%%%%#*+=::·.
.....···........................... .................................................--******+=-::·.
..--+++++==-:·..
..::====--:··.
..::=---::·..
··-:=--:··.
··--=--:·..
··--==-:·..
....················..... ....·············.... ...····::::::···=-+=-:··.
...··:--=====++++++===--:::··........···::-==+++*****++==--::·.. ..··:--==++++++++==-+=-:··.
.··:-=+*##%%%@@@@@@%%#**+=--::·····:::-=+*##%@@@@@@@@@@%%#*+=-:··. .··:-=+*#%%@@@@%%#**+=-:·..
..···::::···.....····::::---------::::----==++**##%%@@@@@@@@@%%%###**++===--:::······:::--=++***#########***+=-:··.
...····:::·······:::::::---::::::··········::::---=============--------:::::············::::---=======##***+=-:··..
.....·....···············...... ..................................................·······==***++=-:··..
··--++==-:··..
·.-:=--:··.
..::-:··.
..:·:··.
·.:·:·..
·.:·:·..
....·············.... .....·····::······... ...···::::::::::::····::-:·.
..··:-===+++++===--::···........··::--=+++*******++=--:·.. .·:--=+***********++=--:-:··.
..·:-=*##%%%%%%%##*+==-::·······:--=+*#%@@@@@@@@@@@@%#*+=-·. .·:=+*#%@@@@@@@@@@@%#*+=-::·...
.....·······::::------------::::----==+**#%%@@@@@@@@@@@%%#**++=--:::········:::--==+++***********++==---::··.....
...···::::::-------------:::::::::::---===++++***+++++===---:::·····.......····:::---============---==-:::··....
....········::::·······.............···················........... ........················--=--::··...
··-:--:··..
·.::::·..
..····.
..·.·.
..·...
..·...
...·········.... .....···········.... ...····:::::::::::::····..···...
..·::-=====--::··... ...··:--==+++***+++==-:··. .··:-==+*************++=--:··:···.........
.··:-+*##***++=-::·... ...··:-=+**#%@@@@@@@@@@%#+=-:·. .·:-=+#%@@@@@@@@@@@@@@%#*+=--:::········...
...··:----==========---------==+**#%@@@@@@@@@@@@@%#*+=-::·... ...··:--==++****####****++==--:··... ....
...··:----========-----::::----==+++*************++=--:··... ...··:::--===++++++++===---::··.··............
...···:::::::::·······....······::::::::::::::::····... ....·····::::::::::·····..··:···.........
..:·:···........
..····......
..·.·...
......
. .... .......
. .........···...
.....·..... .....·······...... .....····:::::::::::····.... ..·····::::···..
..··::::::··.. ...··::---=====---::··... ..···:--==+++********+++==-:::····::::-----::··.
..·::-====-:··. ..··:-==+**#######**+=-::·. .··:-=++*#%@@@@@@@@@@@%%#*++==--------===---:··.
..··:--========-----::----=++*#%@@@@@@@@@@@@@%#*+-:··. ..··:--==+++**********++==-::··.. ..······.
..··:---===-----:::::::---==++***************+=--:·.. ..··::--===+++++++++===--::···......···::::::··.
...··············.....·····:::::::::::::::::::··... ...····:::::::::::::····.....··:::::----::··.
..··-:------:::·..
..··::::---:::··..
..··:::::::::··..
..·.··::::::···..
..··:::::::··..
..::::----::··..
..... .......................... .....······:·······....... ··::--===--::·..
...···... ...····::::::::::::::········............···::---===++++===---:::·········--===+==--:··.
.···:::··.. ...··::---======-----::::::··············:::--==++**###%%%###**+==---:::::----===++==--:··.
..··::---:::·········::-=++*#%@@@@@@@@@@%#*+=-:·.. ...··::--==+++*******++==-::·... ..··:-=====--:·.
..···::::···········::--==+*************+==-:·.. ...··::---===+++++===---::····....··--=+*****+=-:·.
....................···:::::::::::::::::··... ....····::::::::::·····........::++**#%##*+=-:·
..--***##%#*+=-:·.
..--+******+=-:··.
..::=+++++==-::·..
..::-=====--::·..
..··-------::··..
··:------::··..
.....······:::::·····.... ......·······....... ··-------::··..
..... ....····:::---=========--::···...........···:::------::::····........·····-------::··..
..···... .....·····:::---==+++*****+++==--::::··::::---===++++++===--:::········:::::-------::···..
..... ..·::-=+**##%%%%%##**+==-:··.. ..··:--=++******++=--::··.......·::-=+*#%@%#*+=-:·.
.. ..··::--==++******++==--:··... ...··::---======---:::··········::--#%@@@@%#*+=-:·.
....···:::::::::::::···... .....··············..........···=+@@@@@@%#*+=-:·.
··++@@@@@@%#*+=-·.
··==%%%%%%#*+=-:·.
··--****++==-:··..
..::====---:···..
..··::::::···...
..·······....
.....····::::::::::···.... ............... ..·····......
....··::--==++*****+++=--::··............····::::::·····.....................··.........
......... ......··::-==+*##%%@@@%%%#**+==-:::::·:::::-----==----:::·····....··············...........
██████╗ ██╗ ██████╗ ██████╗ ██████╗ ██████╗ ███████╗██████╗ ███████╗███╗ ██╗ ██████╗██╗ ██╗
██╔══██╗██║██╔════╝ ██╔════╝██╔═══██╗██╔══██╗██╔════╝██╔══██╗██╔════╝████╗ ██║██╔════╝██║ ██║
██████╔╝██║██║ ███╗██║ ██║ ██║██║ ██║█████╗ ██████╔╝█████╗ ██╔██╗ ██║██║ ███████║
██╔══██╗██║██║ ██║██║ ██║ ██║██║ ██║██╔══╝ ██╔══██╗██╔══╝ ██║╚██╗██║██║ ██╔══██║
██████╔╝██║╚██████╔╝╚██████╗╚██████╔╝██████╔╝███████╗██████╔╝███████╗██║ ╚████║╚██████╗██║ ██║
╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 61bdd552-dd33-523d-9a49-dd792a92ad09
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# Constants defining the range of random integers and the size of the DataFrame
RANGE = 100
SIZE = 1000
def task_func():
"""
Generates a DataFrame with two columns, 'X' and 'Y', each filled with random integers within a specified range,
and plots these points using a scatter plot. The visualization is created using Seaborn on top of Matplotlib.
The function is designed to be parameter-free for simplicity, utilizing constants for configuration.
Returns:
pd.DataFrame: A DataFrame with 'X' and 'Y' columns containing the generated random integers.
Requirements:
- numpy
- pandas
- seaborn
- matplotlib.pyplot
No Parameters.
Example:
>>> df = task_func()
>>> isinstance(df, pd.DataFrame)
True
>>> 'X' in df.columns and 'Y' in df.columns
True
>>> len(df)
1000
>>> all(df['X'].between(0, RANGE - 1)) and all(df['Y'].between(0, RANGE - 1))
True
"""
instruct prompt
Generates a DataFrame with two columns, 'X' and 'Y', each filled with random integers within a specified range, and plots these points using a scatter plot. The visualization is created using Seaborn on top of Matplotlib. The function is designed to be parameter-free for simplicity, utilizing constants for configuration. No Parameters.
The function should output with:
pd.DataFrame: A DataFrame with 'X' and 'Y' columns containing the generated random integers.
You should write self-contained code starting with:
Code
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# Constants defining the range of random integers and the size of the DataFrame
RANGE = 100
SIZE = 1000
def task_func():
code prompt
Code
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# Constants defining the range of random integers and the size of the DataFrame
RANGE = 100
SIZE = 1000
def task_func():
entry point
task_func
libs
- pandas
- numpy
- matplotlib
- seaborn
Discussion
No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
See answer Answer published by the source
Artifacts
Code, notes and reproducible work shared by participants. Files are served from a separate origin.
No artifacts on this page yet. Share reproducible code or notes in a contribution. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
Source and history
- task_id
61bdd552-dd33-523d-9a49-dd792a92ad09- task_key
default--v0~2e1~2e0~5fhf--61bdd552-dd33-523d-9a49-dd792a92ad09- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import