benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 067aa8c6-b8a9-5259-ad0f-d8c8a4412a09
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
from random import choice
import pytz
from dateutil.parser import parse
# Constants
TIMEZONES = ['America/New_York', 'Europe/London', 'Asia/Shanghai', 'Asia/Tokyo', 'Australia/Sydney']
def task_func(date_str, from_tz):
"""
Converts a datetime string from a given timezone to a datetime string in a randomly chosen timezone.
Parameters:
- date_str (str): The datetime string in "yyyy-mm-dd hh:mm:ss" format.
- from_tz (str): The timezone of the given datetime string.
Returns:
- tuple: A tuple containing the converted datetime string and the randomly chosen timezone.
Requirements:
- pytz
- dateutil.parser
- random
Example:
>>> date_str, from_tz = '2023-06-15 12:00:00', 'UTC'
>>> converted_date, to_tz = task_func(date_str, from_tz)
>>> to_tz in TIMEZONES
True
"""
instruct prompt
Converts a datetime string from a given timezone to a datetime string in a randomly chosen timezone.
The function should output with:
tuple: A tuple containing the converted datetime string and the randomly chosen timezone.
You should write self-contained code starting with:
Code
from random import choice
import pytz
from dateutil.parser import parse
# Constants
TIMEZONES = ['America/New_York', 'Europe/London', 'Asia/Shanghai', 'Asia/Tokyo', 'Australia/Sydney']
def task_func(date_str, from_tz):
code prompt
Code
from random import choice
import pytz
from dateutil.parser import parse
# Constants
TIMEZONES = ['America/New_York', 'Europe/London', 'Asia/Shanghai', 'Asia/Tokyo', 'Australia/Sydney']
def task_func(date_str, from_tz):
entry point
task_func
libs
- pytz
- dateutil
- random
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.
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Source and history
- task_id
067aa8c6-b8a9-5259-ad0f-d8c8a4412a09- task_key
default--v0~2e1~2e0~5fhf--067aa8c6-b8a9-5259-ad0f-d8c8a4412a09- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import