benchmarks.wiki / Public workspace
..·::-==++*********++==-::·.. ..·:--==+++++==--::··........·::-=+**#%@@@@%#*+=-:·
..···::-----===------:::··... ..···::::::::::···........··::--==++@@@@@@%#*+=-:·.
......············....... ..........................·····:**@@@@@@%#*+=-:·.
·:++@@@@@@%#*+=-:·.
··==######*++=-:·..
..--+++====--::··.
..··:::::::····...
...............
......·····::::::::····..... ...............
...............····:::--==+++++++++==--:::···..........·····:::::::·····..................
......················:::--=++*##%%%@%%%##**+==---::::::::----=======----:::··········:::·····...
..·:--=+**##%%%%%#**+=-:·. ..·::---===--::··.. ..··:--=++**######*+=-:··.
...···:::---======--::··.. ...········.... ...··::---====%%%%%%#*+=-:·.
.........·······..... .....······++%%@@@@%#*+=-:·.
··==%%%%%%%#*+=-:·.
··--****##**++=-:·.
..::-====++===--:·.
..···::-----::··.
...········..
....··..
.........··················....... ................................ .....
....··:::::::-----===========---::::····........······:::::-----:::::··················...
..···::------====+++****######***++==---:::::::::::---====+++++++====----------=====----::·..
.·:-=+*##%@@@@@%%#*+=-:·. ..··::------::··.. ..···::::----------::··..
..··::--===++++==--:··.. ........... ...·····::::::=======--:··.
.....·········.... ............:-+++++++==-:··.
..--++*****+==-:·.
..::+++**#**+=--:.
..·:===+****++=-:·.
.·:--=++*+++=-:·.
..·::-==++==-:·.
..·:---==--:·.
...···::::::·······..... .........·············..................... ..·::---::·.
..··:-==++++++++++===--::···..... ........····::::---------------::::-----------:::··... .··::::··.
..·::-=+###%%%%@@%%%%##*++=--:···........····:::--===++++++++++++++++++++*****##***++=--:·.. ..·····..
..·::-=+*##%%%%%%##**+==-::··..........··::---=====--::·.. .....·····...
...··::--========---::··.... .....········.... ....······...
....··········..... ..··········...
.·:::::::::··..
..··-----=--::··..
..··-===++==--:··.
..·:==+++*++=--:·.
.··-=++*#**+=-:·.
.·--=+*##**+=-:·.
...···::····.... .........··································..... ..:-=++*#**+=-:·.
..·:-==+***++==--:··... ....····::::-------------------====++++++===--::··... .·:-=+****+=-:·.
.·:-+*#%@@@@@@%##*+=-:··.. ....···::---================+++**##%%%%%%%%#**+=-::·.. ..·:-=+++++=-:·.
..··::--==+++*********+++++=====----------===++********++=--:··. .··::---::·.
...···::::-----------::::::·············:::::------:::···.. .··:::::··.
.........···............. ................. ..···::···.
..·······..
....·······..
...···········..
··::::::::····..
..··-------:::··..
..::==++++=--::·..
.......... ......................·······:::::::::::·····.................:-+*****++=-:··.
.··::-----::··... ......·····:::::::::::::::::---===++++++++++==--:::···.......···:::--**#####*+=-:·.
.·:-=+**##**+=-::·... ....····::::::::::::::::::--==++*##%%%%%%%##*++=--::···.....··::--=++*##%%%%#*=-:·.
..·::-=+++++++==========+++++++++++++++***##%%%@@@@@@@@%##*+==-::····........ .·:-=++***+=-:·.
...·::-------::::::::::::::::::::::::-----=====+++====--:::··................ ··:=++*++=-:·.
....·····..............................··········...... ...... ..·:-+++==-:·.
.··:=====-:·.
.·:------:·.
..·::---::·.
..··:::::··.
....···::···..
..············..
......... ........·····::::::::::·······..................··-:::::::···..
....................................·····............···::---==++++++++===---::::::::::::-----------====---::··..
..····:::·····...............················..........··::-=++**#######**++==--::::::---==++***######***+++=-:··..
.·::--=====----======+++++++++++****##%%@@@@@@@@@@@@@@%##*+++====-------:::··.. .··:-==++**##*+==-:·.
..··:::--:::::······::::::::::::----====++++++++++===--::::···············.... ..··:++**##**+=-:·.
.....··............................············......... .............. ··=+**###*+=-:·.
.·-=+**#**+=-:·.
..:-=+****+=-:·.
.::-=+**++=-:·.
.·::-=+++=--:·.
.·::-===--::·.
.··::----::·..
................. ....·····:::::::··········............. ..····:::::··..
...····:::::::················....... ...··::--===========-----:::::::--------::::·····..····:::···...
...·::::--------------:::::::::···.... ..·::-==++*******+++==--------===+++*******+++==---::::::···...
.··::--=======================+++**##%@@@@@@@@@@@%%###**************+++==--::···.........····:::---===+++**#*++=-:·.
...···::::::::::::::::::::::::----====++++++===----::::::::::::::::::::···.... ....···:::::+++****+==-:·.
...............................·········....... .............. .....:-++*****+=-::·.
..:-+*****++=-:··.
..:-+*****++=-:·..
..:-+*****++=-:·..
..::++****+=--:·.
..::=+++**+=-:··.
.·:==++++=--:·..
....······................. ....················.......... .··--====--:··.
..··:-----------:::::::::::····.... ..··::---=========----::::::::··········..........····------::·...
..·:-==++++++++++++++++++===--::··... ..··:-==++**###***+++==------------=====------::::::::::::::::··..
.··:-==+*+++===---:::::::::--==++***########************####%%%%####***+++===------:::::::···::::--==+**#%%@%#*+=-:·
..··::-----:::::········:::::------------:::::······:::::--------:::::···························::::+**####*+=-:·.
....................................... .............. ................::+++****+=-:··.
..::++++++==-:··.
..--+++++==-:··..
··--++++==-::·..
··--*+++==-:·..
··=-**++==-:·..
··=-**++=-:··.
.....······................ ....·············..... ......····--*++==-:·..
..··::------=========-----:::··.... ....··::--==++++++===---::···.... ...··:::-------++==-:··.
.·::-=+***#####%%%%%%###**+==-::··......··::-=++*##%%%%%%%##**+==--::····............···::--===++++++===-::·.
.·:---===--::·····..·····::---==================++**##%%%%@@@@@%%%%####***+++==---::·······:::-==+**#%%%@@@@%#+=-:·.
..··:::--::::··········:::::::--::::::············:::-------------------::::::::::·············:::--==##%%%%#*+=::·.
.....···........................... .................................................--******+=-::·.
..--+++++==-:·..
..::====--:··.
..::=---::·..
··-:=--:··.
··--=--:·..
··--==-:·..
....················..... ....·············.... ...····::::::···=-+=-:··.
...··:--=====++++++===--:::··........···::-==+++*****++==--::·.. ..··:--==++++++++==-+=-:··.
.··:-=+*##%%%@@@@@@%%#**+=--::·····:::-=+*##%@@@@@@@@@@%%#*+=-:··. .··:-=+*#%%@@@@%%#**+=-:·..
..···::::···.....····::::---------::::----==++**##%%@@@@@@@@@%%%###**++===--:::······:::--=++***#########***+=-:··.
...····:::·······:::::::---::::::··········::::---=============--------:::::············::::---=======##***+=-:··..
.....·....···············...... ..................................................·······==***++=-:··..
··--++==-:··..
·.-:=--:··.
..::-:··.
..:·:··.
·.:·:·..
·.:·:·..
....·············.... .....·····::······... ...···::::::::::::····::-:·.
..··:-===+++++===--::···........··::--=+++*******++=--:·.. .·:--=+***********++=--:-:··.
..·:-=*##%%%%%%%##*+==-::·······:--=+*#%@@@@@@@@@@@@%#*+=-·. .·:=+*#%@@@@@@@@@@@%#*+=-::·...
.....·······::::------------::::----==+**#%%@@@@@@@@@@@%%#**++=--:::········:::--==+++***********++==---::··.....
...···::::::-------------:::::::::::---===++++***+++++===---:::·····.......····:::---============---==-:::··....
....········::::·······.............···················........... ........················--=--::··...
··-:--:··..
·.::::·..
..····.
..·.·.
..·...
..·...
...·········.... .....···········.... ...····:::::::::::::····..···...
..·::-=====--::··... ...··:--==+++***+++==-:··. .··:-==+*************++=--:··:···.........
.··:-+*##***++=-::·... ...··:-=+**#%@@@@@@@@@@%#+=-:·. .·:-=+#%@@@@@@@@@@@@@@%#*+=--:::········...
...··:----==========---------==+**#%@@@@@@@@@@@@@%#*+=-::·... ...··:--==++****####****++==--:··... ....
...··:----========-----::::----==+++*************++=--:··... ...··:::--===++++++++===---::··.··............
...···:::::::::·······....······::::::::::::::::····... ....·····::::::::::·····..··:···.........
..:·:···........
..····......
..·.·...
......
. .... .......
. .........···...
.....·..... .....·······...... .....····:::::::::::····.... ..·····::::···..
..··::::::··.. ...··::---=====---::··... ..···:--==+++********+++==-:::····::::-----::··.
..·::-====-:··. ..··:-==+**#######**+=-::·. .··:-=++*#%@@@@@@@@@@@%%#*++==--------===---:··.
..··:--========-----::----=++*#%@@@@@@@@@@@@@%#*+-:··. ..··:--==+++**********++==-::··.. ..······.
..··:---===-----:::::::---==++***************+=--:·.. ..··::--===+++++++++===--::···......···::::::··.
...··············.....·····:::::::::::::::::::··... ...····:::::::::::::····.....··:::::----::··.
..··-:------:::·..
..··::::---:::··..
..··:::::::::··..
..·.··::::::···..
..··:::::::··..
..::::----::··..
..... .......................... .....······:·······....... ··::--===--::·..
...···... ...····::::::::::::::········............···::---===++++===---:::·········--===+==--:··.
.···:::··.. ...··::---======-----::::::··············:::--==++**###%%%###**+==---:::::----===++==--:··.
..··::---:::·········::-=++*#%@@@@@@@@@@%#*+=-:·.. ...··::--==+++*******++==-::·... ..··:-=====--:·.
..···::::···········::--==+*************+==-:·.. ...··::---===+++++===---::····....··--=+*****+=-:·.
....................···:::::::::::::::::··... ....····::::::::::·····........::++**#%##*+=-:·
..--***##%#*+=-:·.
..--+******+=-:··.
..::=+++++==-::·..
..::-=====--::·..
..··-------::··..
··:------::··..
.....······:::::·····.... ......·······....... ··-------::··..
..... ....····:::---=========--::···...........···:::------::::····........·····-------::··..
..···... .....·····:::---==+++*****+++==--::::··::::---===++++++===--:::········:::::-------::···..
..... ..·::-=+**##%%%%%##**+==-:··.. ..··:--=++******++=--::··.......·::-=+*#%@%#*+=-:·.
.. ..··::--==++******++==--:··... ...··::---======---:::··········::--#%@@@@%#*+=-:·.
....···:::::::::::::···... .....··············..........···=+@@@@@@%#*+=-:·.
··++@@@@@@%#*+=-·.
··==%%%%%%#*+=-:·.
··--****++==-:··..
..::====---:···..
..··::::::···...
..·······....
.....····::::::::::···.... ............... ..·····......
....··::--==++*****+++=--::··............····::::::·····.....................··.........
......... ......··::-==+*##%%@@@%%%#**+==-:::::·:::::-----==----:::·····....··············...........
██████╗ ██╗ ██████╗ ██████╗ ██████╗ ██████╗ ███████╗██████╗ ███████╗███╗ ██╗ ██████╗██╗ ██╗
██╔══██╗██║██╔════╝ ██╔════╝██╔═══██╗██╔══██╗██╔════╝██╔══██╗██╔════╝████╗ ██║██╔════╝██║ ██║
██████╔╝██║██║ ███╗██║ ██║ ██║██║ ██║█████╗ ██████╔╝█████╗ ██╔██╗ ██║██║ ███████║
██╔══██╗██║██║ ██║██║ ██║ ██║██║ ██║██╔══╝ ██╔══██╗██╔══╝ ██║╚██╗██║██║ ██╔══██║
██████╔╝██║╚██████╔╝╚██████╗╚██████╔╝██████╔╝███████╗██████╔╝███████╗██║ ╚████║╚██████╗██║ ██║
╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf fa85986e-5eb7-5704-a55d-d0a89a9420b4
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import math
import numpy as np
import matplotlib.pyplot as plt
def task_func(list_input):
"""
Sort the given list in ascending order based on the degree value of its elements, calculate the cumulative sum of
the sorted list, and draw a line chart of the cumulative sum.
Parameters:
list_input (list): The list to be sorted.
Returns:
tuple: A tuple containing:
- numpy array: The cumulative sum of the sorted list.
- matplotlib.axes._axes.Axes: The Axes object of the plotted line chart.
Requirements:
- math
- numpy
- matplotlib.pyplot
Example:
>>> cumsum, ax = task_func([10, 20, 30])
>>> print(cumsum)
[10 30 60]
>>> ax.get_title()
'Cumulative Sum Plot'
"""
instruct prompt
Sort the given list in ascending order based on the degree value of its elements, calculate the cumulative sum of the sorted list, and draw a line chart of the cumulative sum.
The function should output with:
tuple: A tuple containing:
numpy array: The cumulative sum of the sorted list.
matplotlib.axes._axes.Axes: The Axes object of the plotted line chart.
You should write self-contained code starting with:
Code
import math
import numpy as np
import matplotlib.pyplot as plt
def task_func(list_input):
code prompt
Code
import math
import numpy as np
import matplotlib.pyplot as plt
def task_func(list_input):
entry point
task_func
libs
- math
- numpy
- matplotlib
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
fa85986e-5eb7-5704-a55d-d0a89a9420b4- task_key
default--v0~2e1~2e0~5fhf--fa85986e-5eb7-5704-a55d-d0a89a9420b4- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import