benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf a1d316b9-163d-568a-9ba3-b01e637889ce
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import csv
import os
from datetime import datetime
from random import randint
import matplotlib.pyplot as plt
import pandas as pd
# Constants
VEHICLE_TYPES = ['Car', 'Bus', 'Truck', 'Bike']
OUTPUT_DIR = './output'
def task_func(hours, output_dir=OUTPUT_DIR):
"""
Generates traffic data for different vehicle types over a specified number of hours,
saves the data to a CSV file with coloumns 'Time', 'Car', 'Bus', 'Truck', and 'Bike',
and plots the data in a line chart with 'Time' on x-axis and 'Vehicle Count' on y-axis.
Parameters:
- hours (int): Number of hours to generate data for.
- output_dir (str, optional): The output file path
Returns:
- tuple: Path to the CSV file and the matplotlib axes object of the line plot.
Requirements:
- pandas
- os
- csv
- matplotlib.pyplot
- random
- datetime
Example:
>>> import matplotlib
>>> file_path, ax = task_func(2) # Generate data for 2 hours
>>> isinstance(file_path, str)
True
>>> 'traffic_data.csv' in file_path
True
>>> isinstance(ax, matplotlib.axes.Axes)
True
"""
instruct prompt
Generates traffic data for different vehicle types over a specified number of hours, saves the data to a CSV file with coloumns 'Time', 'Car', 'Bus', 'Truck', and 'Bike', and plots the data in a line chart with 'Time' on x-axis and 'Vehicle Count' on y-axis.
The function should output with:
tuple: Path to the CSV file and the matplotlib axes object of the line plot.
You should write self-contained code starting with:
Code
import csv
import os
from datetime import datetime
from random import randint
import matplotlib.pyplot as plt
import pandas as pd
# Constants
VEHICLE_TYPES = ['Car', 'Bus', 'Truck', 'Bike']
OUTPUT_DIR = './output'
def task_func(hours, output_dir=OUTPUT_DIR):
code prompt
Code
import csv
import os
from datetime import datetime
from random import randint
import matplotlib.pyplot as plt
import pandas as pd
# Constants
VEHICLE_TYPES = ['Car', 'Bus', 'Truck', 'Bike']
OUTPUT_DIR = './output'
def task_func(hours, output_dir=OUTPUT_DIR):
entry point
task_func
libs
- pandas
- matplotlib
- random
- os
- csv
- datetime
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
a1d316b9-163d-568a-9ba3-b01e637889ce- task_key
default--v0~2e1~2e0~5fhf--a1d316b9-163d-568a-9ba3-b01e637889ce- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import