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BigCodeBench / BigCodeBench v0.1.0_hf 5a0483da-9a43-5d10-9a9d-0af0d6f84bc5

Problem

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

complete prompt

import sqlite3
import numpy as np
from random import choice, seed


def task_func(db_path, table_name, num_entries, random_seed=None):
    """
    Insert random data into an SQLite3 table that contains random names, ages, and heights.
    If the table does not exist, it will be created.
    This function uses the following constants:
    - NAMES: List of possible names ['John', 'Jane', 'Steve', 'Emma', 'Liam', 'Olivia'].
    - AGES: Range of possible ages from 18 to 64.
    - HEIGHTS: Range of possible heights from 150cm to 199cm.

    Parameters:
    db_path (str): The path to the SQLite3 database file.
    table_name (str): The name of the table to insert data into.
    num_entries (int): The number of entries to insert. Must not be negative.
    random_seed (int, optional): Seed for random number generation. Defaults to None (no fixed seed).

    Returns:
    int: The number of rows inserted.

    Raises:
    ValueError: If num_entries is negative.
    
    Requirements:
    - sqlite3
    - numpy
    - random.choice
    - random.seed

    Example:
    >>> task_func('path_to_test.db', 'People', 100, random_seed=42)
    100
    """

instruct prompt

Insert random data into an SQLite3 table that contains random names, ages, and heights. If the table does not exist, it will be created. This function uses the following constants: - NAMES: List of possible names ['John', 'Jane', 'Steve', 'Emma', 'Liam', 'Olivia']. - AGES: Range of possible ages from 18 to 64. - HEIGHTS: Range of possible heights from 150cm to 199cm.
The function should raise the exception for: ValueError: If num_entries is negative.
The function should output with:
    int: The number of rows inserted.
You should write self-contained code starting with:

Code

import sqlite3
import numpy as np
from random import choice, seed
def task_func(db_path, table_name, num_entries, random_seed=None):

code prompt

Code

import sqlite3
import numpy as np
from random import choice, seed
def task_func(db_path, table_name, num_entries, random_seed=None):

entry point

task_func

libs

  • sqlite3
  • numpy
  • random

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Source and history

task_id
5a0483da-9a43-5d10-9a9d-0af0d6f84bc5
task_key
default--v0~2e1~2e0~5fhf--5a0483da-9a43-5d10-9a9d-0af0d6f84bc5
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import