benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf b5c462ae-3524-5865-b8d1-ae76fae05703
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import inspect
import matplotlib.pyplot as plt
import pandas as pd
def task_func(f_list):
"""
Analyzes a list of functions and draws a bar chart showing the number of arguments for each function.
The function names are listed along the x-axis, and the number of arguments are represented as bars.
This method showcases the integration of function introspection, data frame creation, and data visualization.
Parameters:
f_list (list): List of functions to inspect.
Returns:
pandas.DataFrame: Returns a DataFrame containing the function names and their respective number of arguments.
Raises:
ValueError: if the input contains lambda function
Requirements:
- inspect
- matplotlib.pyplot
- pandas
Examples:
>>> def f(x): x*x
>>> def g(x, y=2): return x*y
>>> task_func([f, g])
Number of Arguments
Function Name
f 1
g 2
>>> lambda_func = lambda x: x * 2
>>> task_func([f, lambda_func])
Traceback (most recent call last):
...
ValueError: The function should not be a lambda function.
"""
instruct prompt
Analyzes a list of functions and draws a bar chart showing the number of arguments for each function. The function names are listed along the x-axis, and the number of arguments are represented as bars. This method showcases the integration of function introspection, data frame creation, and data visualization.
The function should raise the exception for: ValueError: if the input contains lambda function
The function should output with:
pandas.DataFrame: Returns a DataFrame containing the function names and their respective number of arguments.
You should write self-contained code starting with:
Code
import inspect
import matplotlib.pyplot as plt
import pandas as pd
def task_func(f_list):
code prompt
Code
import inspect
import matplotlib.pyplot as plt
import pandas as pd
def task_func(f_list):
entry point
task_func
libs
- pandas
- inspect
- matplotlib
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
b5c462ae-3524-5865-b8d1-ae76fae05703- task_key
default--v0~2e1~2e0~5fhf--b5c462ae-3524-5865-b8d1-ae76fae05703- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import