benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 72610b29-06fe-533c-9b71-94689016a92d
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import string
import random
import pandas as pd
import numpy as np
# Constants
NUM_SAMPLES = 1000 # Number of samples
def task_func():
"""
Generates a DataFrame with two columns: a string field and a float field.
The string field contains randomly generated strings of 10 ASCII letters.
The float field contains randomly generated numbers between 0 and 10000,
formatted with two decimal places and a comma as the thousands separator.
Parameters:
- None
Returns:
DataFrame: A pandas DataFrame with NUM_SAMPLES rows. Each row contains a
random string in the 'String Field' column and a formatted float in the
'Float Field' column.
Requirements:
- string
- random
- pandas
- numpy
Example:
>>> random.seed(0)
>>> np.random.seed(0)
>>> dataset = task_func()
>>> print(dataset.head(1))
String Field Float Field
0 RNvnAvOpyE 5,488.14
Note: The exact values in the dataset will vary as they are randomly generated.
"""
instruct prompt
Generates a DataFrame with two columns: a string field and a float field. The string field contains randomly generated strings of 10 ASCII letters. The float field contains randomly generated numbers between 0 and 10000, formatted with two decimal places and a comma as the thousands separator.
Note that: The exact values in the dataset will vary as they are randomly generated.
The function should output with:
DataFrame: A pandas DataFrame with NUM_SAMPLES rows. Each row contains a
random string in the 'String Field' column and a formatted float in the
'Float Field' column.
You should write self-contained code starting with:
Code
import string
import random
import pandas as pd
import numpy as np
# Constants
NUM_SAMPLES = 1000 # Number of samples
def task_func():
code prompt
Code
import string
import random
import pandas as pd
import numpy as np
# Constants
NUM_SAMPLES = 1000 # Number of samples
def task_func():
entry point
task_func
libs
- pandas
- numpy
- random
- string
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
72610b29-06fe-533c-9b71-94689016a92d- task_key
default--v0~2e1~2e0~5fhf--72610b29-06fe-533c-9b71-94689016a92d- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import