BigCodeBench / BigCodeBench v0.1.0_hf 9391fb7a-3663-5526-9ded-365b79e62f70

complete prompt

import pandas as pd
import numpy as np
import folium

def task_func(dic={'Lon': (-180, 180), 'Lat': (-90, 90)}, cities=['New York', 'London', 'Beijing', 'Tokyo', 'Sydney']):
    """
    Create a map with markers for a list of cities, where the coordinates are randomly generated within given ranges.

    Parameters:
    dic (dict): Dictionary with 'Lon' and 'Lat' keys, each a tuple (min, max) for coordinate range. 
                Default: {'Lon': (-180, 180), 'Lat': (-90, 90)}
    cities (list): List of city names. Default: ['New York', 'London', 'Beijing', 'Tokyo', 'Sydney']

    Returns:
    tuple: A tuple containing (folium.Map, pandas.DataFrame).
           The DataFrame contains 'City', 'Longitude', and 'Latitude' columns.

    Raises:
    ValueError: If 'Lon' or 'Lat' keys are missing in the dictionary, or if their values are not tuples.

    Requirements:
    - pandas
    - numpy
    - folium

    Example:
    >>> dic = {'Lon': (-180, 180), 'Lat': (-90, 90)}
    >>> map_obj, city_data = task_func(dic)
    """

instruct prompt

Create a map with markers for a list of cities, where the coordinates are randomly generated within given ranges.
The function should raise the exception for: ValueError: If 'Lon' or 'Lat' keys are missing in the dictionary, or if their values are not tuples.
The function should output with:
    tuple: A tuple containing (folium.Map, pandas.DataFrame).
    The DataFrame contains 'City', 'Longitude', and 'Latitude' columns.
You should write self-contained code starting with:

Code

import pandas as pd
import numpy as np
import folium
def task_func(dic={'Lon': (-180, 180), 'Lat': (-90, 90)}, cities=['New York', 'London', 'Beijing', 'Tokyo', 'Sydney']):

code prompt

Code

import pandas as pd
import numpy as np
import folium
def task_func(dic={'Lon': (-180, 180), 'Lat': (-90, 90)}, cities=['New York', 'London', 'Beijing', 'Tokyo', 'Sydney']):

entry point

task_func

libs

• pandas
• folium
• numpy