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BigCodeBench / BigCodeBench v0.1.0_hf c4130e3c-0727-59e8-bace-8c6e5d773516
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
from collections import defaultdict
from random import randint
def task_func(dict1):
"""
Create a dictionary of employee data for departments starting with 'EMP
$$'.
The keys are department codes and the values are lists of the salaries of employees in that department.
Parameters:
dict1 (dict): A dictionary with department codes as keys and number of employees as values.
Returns:
dict: A dictionary with department codes starting with 'EMP$$' as keys and lists of employee salaries as values.
Requirements:
- collections
- random
Example:
>>> import random
>>> random.seed(0)
>>> d = {'EMP$$1': 10, 'MAN$$1': 5, 'EMP$$2': 8, 'HR$$1': 7}
>>> emp_data = task_func(d)
>>> print(emp_data.keys())
dict_keys(['EMP$$1', 'EMP$$2'])
"""
Plain-text mathematical notation (without MathML)
from collections import defaultdict
from random import randint
def task_func(dict1):
"""
Create a dictionary of employee data for departments starting with 'EMP$$'.
The keys are department codes and the values are lists of the salaries of employees in that department.
Parameters:
dict1 (dict): A dictionary with department codes as keys and number of employees as values.
Returns:
dict: A dictionary with department codes starting with 'EMP$$' as keys and lists of employee salaries as values.
Requirements:
- collections
- random
Example:
>>> import random
>>> random.seed(0)
>>> d = {'EMP$$1': 10, 'MAN$$1': 5, 'EMP$$2': 8, 'HR$$1': 7}
>>> emp_data = task_func(d)
>>> print(emp_data.keys())
dict_keys(['EMP$$1', 'EMP$$2'])
"""
Original LaTeX notation
from collections import defaultdict
from random import randint
def task_func(dict1):
"""
Create a dictionary of employee data for departments starting with 'EMP$$'.
The keys are department codes and the values are lists of the salaries of employees in that department.
Parameters:
dict1 (dict): A dictionary with department codes as keys and number of employees as values.
Returns:
dict: A dictionary with department codes starting with 'EMP$$' as keys and lists of employee salaries as values.
Requirements:
- collections
- random
Example:
>>> import random
>>> random.seed(0)
>>> d = {'EMP$$1': 10, 'MAN$$1': 5, 'EMP$$2': 8, 'HR$$1': 7}
>>> emp_data = task_func(d)
>>> print(emp_data.keys())
dict_keys(['EMP$$1', 'EMP$$2'])
"""
instruct prompt
Create a dictionary of employee data for departments starting with 'EMP
$$'. The keys are department codes and the values are lists of the salaries of employees in that department.
The function should output with:
dict: A dictionary with department codes starting with 'EMP$$' as keys and lists of employee salaries as values.
You should write self-contained code starting with:
Plain-text mathematical notation (without MathML)
Create a dictionary of employee data for departments starting with 'EMP$$'. The keys are department codes and the values are lists of the salaries of employees in that department.
The function should output with:
dict: A dictionary with department codes starting with 'EMP$$' as keys and lists of employee salaries as values.
You should write self-contained code starting with:
Original LaTeX notation
Create a dictionary of employee data for departments starting with 'EMP$$'. The keys are department codes and the values are lists of the salaries of employees in that department.
The function should output with:
dict: A dictionary with department codes starting with 'EMP$$' as keys and lists of employee salaries as values.
You should write self-contained code starting with:
Code
from collections import defaultdict
from random import randint
def task_func(dict1):
code prompt
Code
from collections import defaultdict
from random import randint
def task_func(dict1):
entry point
task_func
libs
- collections
- random
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initial import