benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 2ca364f4-f876-5caa-835d-7aeb294734d0
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import numpy as np
import pandas as pd
# Constants
RANGE = (1, 100)
def task_func(L):
'''
Generates a DataFrame filled with random integers. The dimensions of the DataFrame (number of rows and columns)
are determined by multiplying pairs of integers from nested lists within the input list of lists 'L'.
Requirements:
- numpy
- pandas
Parameters:
L (list of lists): A list of lists where each sublist contains two integers.
Returns:
DataFrame: A pandas DataFrame with random integers.
Example:
>>> df = task_func([[2, 3], [5, 6]])
>>> type(df)
<class 'pandas.core.frame.DataFrame'>
'''
instruct prompt
Generates a DataFrame filled with random integers. The dimensions of the DataFrame (number of rows and columns) are determined by multiplying pairs of integers from nested lists within the input list of lists 'L'.
The function should output with:
DataFrame: A pandas DataFrame with random integers.
You should write self-contained code starting with:
Code
import numpy as np
import pandas as pd
# Constants
RANGE = (1, 100)
def task_func(L):
code prompt
Code
import numpy as np
import pandas as pd
# Constants
RANGE = (1, 100)
def task_func(L):
entry point
task_func
libs
- pandas
- numpy
Discussion
No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
See answer Answer published by the source
Artifacts
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Source and history
- task_id
2ca364f4-f876-5caa-835d-7aeb294734d0- task_key
default--v0~2e1~2e0~5fhf--2ca364f4-f876-5caa-835d-7aeb294734d0- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import