BigCodeBench / BigCodeBench v0.1.0_hf 26542789-dbc7-5feb-ad6e-3d752373c47e

complete prompt

import struct
import io
import gzip

def task_func(newArray):
    """
    Compresses a given NumPy array using gzip compression and returns the compressed data.

    This method takes a NumPy array as input, compresses it using gzip, and returns the compressed data as bytes.
    It is useful for efficiently handling large datasets, especially when saving space is a concern.
    The function utilizes the struct module to pack the array elements into bytes before compressing them.
    The compressed data can then be used for storage or transmission purposes where space efficiency is crucial.

    Parameters:
        newArray (numpy.array): The NumPy array to be compressed. The array should contain numerical data.

    Returns:
        bytes: The gzipped data of the NumPy array.

    Requirements:
    - struct
    - io
    - gzip

    Examples:
    >>> isinstance(task_func(np.array([1, 2, 3])), bytes)
    True
    >>> len(task_func(np.array([1, 2, 3, 4, 5]))) > 0
    True
    """

instruct prompt

Compresses a given NumPy array using gzip compression and returns the compressed data. This method takes a NumPy array as input, compresses it using gzip, and returns the compressed data as bytes. It is useful for efficiently handling large datasets, especially when saving space is a concern. The function utilizes the struct module to pack the array elements into bytes before compressing them. The compressed data can then be used for storage or transmission purposes where space efficiency is crucial.
The function should output with:
    bytes: The gzipped data of the NumPy array.
You should write self-contained code starting with:

Code

import struct
import io
import gzip
def task_func(newArray):

code prompt

Code

import struct
import io
import gzip
def task_func(newArray):

entry point

task_func

libs

• struct
• io
• gzip