benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 45db9dad-ac3f-5f30-947c-9228e2869781
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
from datetime import datetime
import numpy as np
from dateutil.parser import parse
LEAP_SECONDS = np.array(
[
1972,
1973,
1974,
1975,
1976,
1977,
1978,
1979,
1980,
1981,
1982,
1983,
1985,
1988,
1990,
1993,
1994,
1997,
1999,
2006,
2009,
2012,
2015,
2016,
2020,
]
)
def task_func(date_str):
"""
Calculate the total number of seconds elapsed from a given date until the current time,
including any leap seconds that occurred in this period.
Parameters:
date_str (str): The date and time from which to calculate, in "yyyy-mm-dd hh:mm:ss" format.
Returns:
int: The total number of elapsed seconds, including leap seconds, since the given date.
Requirements:
- datetime.datetime
- numpy
- dateutil.parser.parse
Note:
This function uses the datetime, numpy, and dateutil.parser modules.
The LEAP_SECONDS array should contain years when leap seconds were added.
Example:
>>> total_seconds = task_func('1970-01-01 00:00:00')
>>> print(total_seconds)
1702597276
"""
instruct prompt
Calculate the total number of seconds elapsed from a given date until the current time, including any leap seconds that occurred in this period.
Note that: This function uses the datetime, numpy, and dateutil.parser modules. The LEAP_SECONDS array should contain years when leap seconds were added.
The function should output with:
int: The total number of elapsed seconds, including leap seconds, since the given date.
You should write self-contained code starting with:
Code
from datetime import datetime
import numpy as np
from dateutil.parser import parse
LEAP_SECONDS = np.array(
[
1972,
1973,
1974,
1975,
1976,
1977,
1978,
1979,
1980,
1981,
1982,
1983,
1985,
1988,
1990,
1993,
1994,
1997,
1999,
2006,
2009,
2012,
2015,
2016,
2020,
]
)
def task_func(date_str):
code prompt
Code
from datetime import datetime
import numpy as np
from dateutil.parser import parse
LEAP_SECONDS = np.array(
[
1972,
1973,
1974,
1975,
1976,
1977,
1978,
1979,
1980,
1981,
1982,
1983,
1985,
1988,
1990,
1993,
1994,
1997,
1999,
2006,
2009,
2012,
2015,
2016,
2020,
]
)
def task_func(date_str):
entry point
task_func
libs
- dateutil
- datetime
- numpy
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
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Source and history
- task_id
45db9dad-ac3f-5f30-947c-9228e2869781- task_key
default--v0~2e1~2e0~5fhf--45db9dad-ac3f-5f30-947c-9228e2869781- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import