BigCodeBench / BigCodeBench v0.1.0_hf 69343341-9c6f-5d73-8a8b-204161936c7c

complete prompt

import numpy as np
from sklearn.preprocessing import MinMaxScaler

def task_func(my_dict):
    """
    Updates a dictionary by adding a normalized version of a numpy array found under the 'array' key.
    The normalization is performed using MinMaxScaler, scaling each value to fall between 0 and 1.

    Parameters:
        my_dict (dict): A dictionary containing a key 'array' with a numpy array as its value.

    Returns:
        dict: The dictionary after adding a key 'normalized_array' with the normalized values.

    Notes:
        The function modifies the dictionary in-place and does not create a new dictionary.
        The function assumes that 'array' key exists and its value is a numpy array.

    Raises:
        TypeError if the value of the 'array' key in my_dict is not a numpy array
        
    Requirements:
    - numpy
    - sklearn.preprocessing.MinMaxScaler

    Examples:
    >>> example_dict = {'array': np.array([1, 2, 3, 4, 5])}
    >>> result = task_func(example_dict)
    >>> 'normalized_array' in result
    True
    >>> isinstance(result['normalized_array'], np.ndarray)
    True
    """

instruct prompt

Updates a dictionary by adding a normalized version of a numpy array found under the 'array' key. The normalization is performed using MinMaxScaler, scaling each value to fall between 0 and 1.
Note that: Notes: The function modifies the dictionary in-place and does not create a new dictionary. The function assumes that 'array' key exists and its value is a numpy array.
The function should raise the exception for: TypeError if the value of the 'array' key in my_dict is not a numpy array
The function should output with:
    dict: The dictionary after adding a key 'normalized_array' with the normalized values.
You should write self-contained code starting with:

Code

import numpy as np
from sklearn.preprocessing import MinMaxScaler
def task_func(my_dict):

code prompt

Code

import numpy as np
from sklearn.preprocessing import MinMaxScaler
def task_func(my_dict):

entry point

task_func

libs

• numpy
• sklearn