benchmarks.wiki / Public workspace
..·::-==++*********++==-::·.. ..·:--==+++++==--::··........·::-=+**#%@@@@%#*+=-:·
..···::-----===------:::··... ..···::::::::::···........··::--==++@@@@@@%#*+=-:·.
......············....... ..........................·····:**@@@@@@%#*+=-:·.
·:++@@@@@@%#*+=-:·.
··==######*++=-:·..
..--+++====--::··.
..··:::::::····...
...............
......·····::::::::····..... ...............
...............····:::--==+++++++++==--:::···..........·····:::::::·····..................
......················:::--=++*##%%%@%%%##**+==---::::::::----=======----:::··········:::·····...
..·:--=+**##%%%%%#**+=-:·. ..·::---===--::··.. ..··:--=++**######*+=-:··.
...···:::---======--::··.. ...········.... ...··::---====%%%%%%#*+=-:·.
.........·······..... .....······++%%@@@@%#*+=-:·.
··==%%%%%%%#*+=-:·.
··--****##**++=-:·.
..::-====++===--:·.
..···::-----::··.
...········..
....··..
.........··················....... ................................ .....
....··:::::::-----===========---::::····........······:::::-----:::::··················...
..···::------====+++****######***++==---:::::::::::---====+++++++====----------=====----::·..
.·:-=+*##%@@@@@%%#*+=-:·. ..··::------::··.. ..···::::----------::··..
..··::--===++++==--:··.. ........... ...·····::::::=======--:··.
.....·········.... ............:-+++++++==-:··.
..--++*****+==-:·.
..::+++**#**+=--:.
..·:===+****++=-:·.
.·:--=++*+++=-:·.
..·::-==++==-:·.
..·:---==--:·.
...···::::::·······..... .........·············..................... ..·::---::·.
..··:-==++++++++++===--::···..... ........····::::---------------::::-----------:::··... .··::::··.
..·::-=+###%%%%@@%%%%##*++=--:···........····:::--===++++++++++++++++++++*****##***++=--:·.. ..·····..
..·::-=+*##%%%%%%##**+==-::··..........··::---=====--::·.. .....·····...
...··::--========---::··.... .....········.... ....······...
....··········..... ..··········...
.·:::::::::··..
..··-----=--::··..
..··-===++==--:··.
..·:==+++*++=--:·.
.··-=++*#**+=-:·.
.·--=+*##**+=-:·.
...···::····.... .........··································..... ..:-=++*#**+=-:·.
..·:-==+***++==--:··... ....····::::-------------------====++++++===--::··... .·:-=+****+=-:·.
.·:-+*#%@@@@@@%##*+=-:··.. ....···::---================+++**##%%%%%%%%#**+=-::·.. ..·:-=+++++=-:·.
..··::--==+++*********+++++=====----------===++********++=--:··. .··::---::·.
...···::::-----------::::::·············:::::------:::···.. .··:::::··.
.........···............. ................. ..···::···.
..·······..
....·······..
...···········..
··::::::::····..
..··-------:::··..
..::==++++=--::·..
.......... ......................·······:::::::::::·····.................:-+*****++=-:··.
.··::-----::··... ......·····:::::::::::::::::---===++++++++++==--:::···.......···:::--**#####*+=-:·.
.·:-=+**##**+=-::·... ....····::::::::::::::::::--==++*##%%%%%%%##*++=--::···.....··::--=++*##%%%%#*=-:·.
..·::-=+++++++==========+++++++++++++++***##%%%@@@@@@@@%##*+==-::····........ .·:-=++***+=-:·.
...·::-------::::::::::::::::::::::::-----=====+++====--:::··................ ··:=++*++=-:·.
....·····..............................··········...... ...... ..·:-+++==-:·.
.··:=====-:·.
.·:------:·.
..·::---::·.
..··:::::··.
....···::···..
..············..
......... ........·····::::::::::·······..................··-:::::::···..
....................................·····............···::---==++++++++===---::::::::::::-----------====---::··..
..····:::·····...............················..........··::-=++**#######**++==--::::::---==++***######***+++=-:··..
.·::--=====----======+++++++++++****##%%@@@@@@@@@@@@@@%##*+++====-------:::··.. .··:-==++**##*+==-:·.
..··:::--:::::······::::::::::::----====++++++++++===--::::···············.... ..··:++**##**+=-:·.
.....··............................············......... .............. ··=+**###*+=-:·.
.·-=+**#**+=-:·.
..:-=+****+=-:·.
.::-=+**++=-:·.
.·::-=+++=--:·.
.·::-===--::·.
.··::----::·..
................. ....·····:::::::··········............. ..····:::::··..
...····:::::::················....... ...··::--===========-----:::::::--------::::·····..····:::···...
...·::::--------------:::::::::···.... ..·::-==++*******+++==--------===+++*******+++==---::::::···...
.··::--=======================+++**##%@@@@@@@@@@@%%###**************+++==--::···.........····:::---===+++**#*++=-:·.
...···::::::::::::::::::::::::----====++++++===----::::::::::::::::::::···.... ....···:::::+++****+==-:·.
...............................·········....... .............. .....:-++*****+=-::·.
..:-+*****++=-:··.
..:-+*****++=-:·..
..:-+*****++=-:·..
..::++****+=--:·.
..::=+++**+=-:··.
.·:==++++=--:·..
....······................. ....················.......... .··--====--:··.
..··:-----------:::::::::::····.... ..··::---=========----::::::::··········..........····------::·...
..·:-==++++++++++++++++++===--::··... ..··:-==++**###***+++==------------=====------::::::::::::::::··..
.··:-==+*+++===---:::::::::--==++***########************####%%%%####***+++===------:::::::···::::--==+**#%%@%#*+=-:·
..··::-----:::::········:::::------------:::::······:::::--------:::::···························::::+**####*+=-:·.
....................................... .............. ................::+++****+=-:··.
..::++++++==-:··.
..--+++++==-:··..
··--++++==-::·..
··--*+++==-:·..
··=-**++==-:·..
··=-**++=-:··.
.....······................ ....·············..... ......····--*++==-:·..
..··::------=========-----:::··.... ....··::--==++++++===---::···.... ...··:::-------++==-:··.
.·::-=+***#####%%%%%%###**+==-::··......··::-=++*##%%%%%%%##**+==--::····............···::--===++++++===-::·.
.·:---===--::·····..·····::---==================++**##%%%%@@@@@%%%%####***+++==---::·······:::-==+**#%%%@@@@%#+=-:·.
..··:::--::::··········:::::::--::::::············:::-------------------::::::::::·············:::--==##%%%%#*+=::·.
.....···........................... .................................................--******+=-::·.
..--+++++==-:·..
..::====--:··.
..::=---::·..
··-:=--:··.
··--=--:·..
··--==-:·..
....················..... ....·············.... ...····::::::···=-+=-:··.
...··:--=====++++++===--:::··........···::-==+++*****++==--::·.. ..··:--==++++++++==-+=-:··.
.··:-=+*##%%%@@@@@@%%#**+=--::·····:::-=+*##%@@@@@@@@@@%%#*+=-:··. .··:-=+*#%%@@@@%%#**+=-:·..
..···::::···.....····::::---------::::----==++**##%%@@@@@@@@@%%%###**++===--:::······:::--=++***#########***+=-:··.
...····:::·······:::::::---::::::··········::::---=============--------:::::············::::---=======##***+=-:··..
.....·....···············...... ..................................................·······==***++=-:··..
··--++==-:··..
·.-:=--:··.
..::-:··.
..:·:··.
·.:·:·..
·.:·:·..
....·············.... .....·····::······... ...···::::::::::::····::-:·.
..··:-===+++++===--::···........··::--=+++*******++=--:·.. .·:--=+***********++=--:-:··.
..·:-=*##%%%%%%%##*+==-::·······:--=+*#%@@@@@@@@@@@@%#*+=-·. .·:=+*#%@@@@@@@@@@@%#*+=-::·...
.....·······::::------------::::----==+**#%%@@@@@@@@@@@%%#**++=--:::········:::--==+++***********++==---::··.....
...···::::::-------------:::::::::::---===++++***+++++===---:::·····.......····:::---============---==-:::··....
....········::::·······.............···················........... ........················--=--::··...
··-:--:··..
·.::::·..
..····.
..·.·.
..·...
..·...
...·········.... .....···········.... ...····:::::::::::::····..···...
..·::-=====--::··... ...··:--==+++***+++==-:··. .··:-==+*************++=--:··:···.........
.··:-+*##***++=-::·... ...··:-=+**#%@@@@@@@@@@%#+=-:·. .·:-=+#%@@@@@@@@@@@@@@%#*+=--:::········...
...··:----==========---------==+**#%@@@@@@@@@@@@@%#*+=-::·... ...··:--==++****####****++==--:··... ....
...··:----========-----::::----==+++*************++=--:··... ...··:::--===++++++++===---::··.··............
...···:::::::::·······....······::::::::::::::::····... ....·····::::::::::·····..··:···.........
..:·:···........
..····......
..·.·...
......
. .... .......
. .........···...
.....·..... .....·······...... .....····:::::::::::····.... ..·····::::···..
..··::::::··.. ...··::---=====---::··... ..···:--==+++********+++==-:::····::::-----::··.
..·::-====-:··. ..··:-==+**#######**+=-::·. .··:-=++*#%@@@@@@@@@@@%%#*++==--------===---:··.
..··:--========-----::----=++*#%@@@@@@@@@@@@@%#*+-:··. ..··:--==+++**********++==-::··.. ..······.
..··:---===-----:::::::---==++***************+=--:·.. ..··::--===+++++++++===--::···......···::::::··.
...··············.....·····:::::::::::::::::::··... ...····:::::::::::::····.....··:::::----::··.
..··-:------:::·..
..··::::---:::··..
..··:::::::::··..
..·.··::::::···..
..··:::::::··..
..::::----::··..
..... .......................... .....······:·······....... ··::--===--::·..
...···... ...····::::::::::::::········............···::---===++++===---:::·········--===+==--:··.
.···:::··.. ...··::---======-----::::::··············:::--==++**###%%%###**+==---:::::----===++==--:··.
..··::---:::·········::-=++*#%@@@@@@@@@@%#*+=-:·.. ...··::--==+++*******++==-::·... ..··:-=====--:·.
..···::::···········::--==+*************+==-:·.. ...··::---===+++++===---::····....··--=+*****+=-:·.
....................···:::::::::::::::::··... ....····::::::::::·····........::++**#%##*+=-:·
..--***##%#*+=-:·.
..--+******+=-:··.
..::=+++++==-::·..
..::-=====--::·..
..··-------::··..
··:------::··..
.....······:::::·····.... ......·······....... ··-------::··..
..... ....····:::---=========--::···...........···:::------::::····........·····-------::··..
..···... .....·····:::---==+++*****+++==--::::··::::---===++++++===--:::········:::::-------::···..
..... ..·::-=+**##%%%%%##**+==-:··.. ..··:--=++******++=--::··.......·::-=+*#%@%#*+=-:·.
.. ..··::--==++******++==--:··... ...··::---======---:::··········::--#%@@@@%#*+=-:·.
....···:::::::::::::···... .....··············..........···=+@@@@@@%#*+=-:·.
··++@@@@@@%#*+=-·.
··==%%%%%%#*+=-:·.
··--****++==-:··..
..::====---:···..
..··::::::···...
..·······....
.....····::::::::::···.... ............... ..·····......
....··::--==++*****+++=--::··............····::::::·····.....................··.........
......... ......··::-==+*##%%@@@%%%#**+==-:::::·:::::-----==----:::·····....··············...........
██████╗ ██╗ ██████╗ ██████╗ ██████╗ ██████╗ ███████╗██████╗ ███████╗███╗ ██╗ ██████╗██╗ ██╗
██╔══██╗██║██╔════╝ ██╔════╝██╔═══██╗██╔══██╗██╔════╝██╔══██╗██╔════╝████╗ ██║██╔════╝██║ ██║
██████╔╝██║██║ ███╗██║ ██║ ██║██║ ██║█████╗ ██████╔╝█████╗ ██╔██╗ ██║██║ ███████║
██╔══██╗██║██║ ██║██║ ██║ ██║██║ ██║██╔══╝ ██╔══██╗██╔══╝ ██║╚██╗██║██║ ██╔══██║
██████╔╝██║╚██████╔╝╚██████╗╚██████╔╝██████╔╝███████╗██████╔╝███████╗██║ ╚████║╚██████╗██║ ██║
╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf cec27409-647e-55c8-abc4-72a46d977146
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import collections
from operator import itemgetter
import matplotlib.pyplot as plt
def task_func(data):
"""
Generate a bar plot showing the frequency of letters in the given dataset,
and highlight the letter associated with the maximum integer value.
Parameters:
data (list of tuples): A list where each tuple contains a letter (str) and an integer.
Returns:
matplotlib.axes.Axes: The Axes object of the generated plot, with the x-axis labeled 'Letter', the y-axis labeled 'Count', the title 'Letter Counts with Max Value Letter Highlighted', and the labels 'Letter Counts' and 'Max Value Letter' in the legend.
Requirements:
- collections
- operator
- matplotlib.pyplot
Example:
>>> dataset = [('a', 10), ('b', 15), ('a', 5), ('c', 20)]
>>> ax = task_func(dataset)
>>> type(ax)
<class 'matplotlib.axes._axes.Axes'>
"""
instruct prompt
Generate a bar plot showing the frequency of letters in the given dataset, and highlight the letter associated with the maximum integer value.
The function should output with:
matplotlib.axes.Axes: The Axes object of the generated plot, with the x-axis labeled 'Letter', the y-axis labeled 'Count', the title 'Letter Counts with Max Value Letter Highlighted', and the labels 'Letter Counts' and 'Max Value Letter' in the legend.
You should write self-contained code starting with:
Code
import collections
from operator import itemgetter
import matplotlib.pyplot as plt
def task_func(data):
code prompt
Code
import collections
from operator import itemgetter
import matplotlib.pyplot as plt
def task_func(data):
entry point
task_func
libs
- operator
- collections
- 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
cec27409-647e-55c8-abc4-72a46d977146- task_key
default--v0~2e1~2e0~5fhf--cec27409-647e-55c8-abc4-72a46d977146- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import