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BigCodeBench / BigCodeBench v0.1.0_hf d78768db-e1de-5bab-ab53-7cccfd24e9db

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import pytz
import numpy as np
from dateutil.parser import parse
import math


SOLAR_CYCLE_YEARS = np.array([1986, 1996, 2008, 2019])

def task_func(date_str, from_tz, to_tz):
    """
    Calculate solar activity based on the date and time, taking into account the solar cycle of 11 years.

    Parameters:
    date_str (str): The date string in "yyyy-mm-dd hh:mm:ss" format.
    from_tz (str): The timezone of the given date string.
    to_tz (str): The timezone to which the given date and time should be converted.

    Returns:
    float: The solar activity between 0 and 1. The value represents the solar activity 
           calculated using a cosine function based on the years since the closest solar cycle year.

    Requirements:
    - pytz
    - numpy
    - dateutil.parser
    - math

    Example:
    >>> task_func('1970-01-01 00:00:00', 'UTC', 'America/New_York')
    0.14231483827328487
    >>> task_func('1990-01-01 00:00:00', 'UTC', 'America/New_York')
    0.6548607339452851
    """

instruct prompt

Calculate solar activity based on the date and time, taking into account the solar cycle of 11 years.
The function should output with:
    float: The solar activity between 0 and 1. The value represents the solar activity
    calculated using a cosine function based on the years since the closest solar cycle year.
You should write self-contained code starting with:

Code

import pytz
import numpy as np
from dateutil.parser import parse
import math
SOLAR_CYCLE_YEARS = np.array([1986, 1996, 2008, 2019])
def task_func(date_str, from_tz, to_tz):

code prompt

Code

import pytz
import numpy as np
from dateutil.parser import parse
import math
SOLAR_CYCLE_YEARS = np.array([1986, 1996, 2008, 2019])
def task_func(date_str, from_tz, to_tz):

entry point

task_func

libs

  • dateutil
  • math
  • numpy
  • pytz

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Source and history

Official source

initial import