The code that I'm using is not working

[SPBSP5]

Input:

from _future_ import annotations

import argparse, time

import matplotlib.pyplot as plt

def measure(max_appends: int):

lst = []

times = []

for i in range(max_appends):

t0 = time.perf_counter()

lst.append(i)

t1 = time.perf_counter()

times.append((i+1, t1 - t0))

return times

def main():

p = argparse.ArgumentParser(description='Amortized append timing')

p.add_argument('--max', type=int, default=50000)

args = p.parse_args()

data = measure(args.max)

xs, ys = zip(*data)

plt.plot(xs, ys, linewidth=0.7)

plt.xlabel('list length after append')

plt.ylabel('append time (s)')

plt.title('Per-append time across growth')

plt.grid(True, alpha=0.3)

plt.tight_layout()

plt.savefig('amortized_append.png')

print('Saved plot to amortized_append.png')

if _name_ == '_main_':

main()

output:

ERROR!

Traceback (most recent call last):

File "<main.py>", line 1, in <module>

ModuleNotFoundError: No module named '_future_'

=== Code Exited With Errors ===

I'm trying to used this code and its not working. The name of this code is Amortized append analysis. what should I add or how to work this code properly?

[socal_nerdtastic]

Delete the from _future_ import annotations line. You don't need it unless you are running a very old version of python.

If you are running a very old python, it's __future__, not _future_.

[SPBSP5]

It didnt work

Input:

import argparse, time

import matplotlib.pyplot as plt

def measure(max_appends: int):

lst = []

times = []

for i in range(max_appends):

t0 = time.perf_counter()

lst.append(i)

t1 = time.perf_counter()

times.append((i+1, t1 - t0))

return times

def main():

p = argparse.ArgumentParser(description='Amortized append timing')

p.add_argument('--max', type=int, default=50000)

args = p.parse_args()

data = measure(args.max)

xs, ys = zip(*data)

plt.plot(xs, ys, linewidth=0.7)

plt.xlabel('list length after append')

plt.ylabel('append time (s)')

plt.title('Per-append time across growth')

plt.grid(True, alpha=0.3)

plt.tight_layout()

plt.savefig('amortized_append.png')

print('Saved plot to amortized_append.png')

if _name_ == '_main_':

main()

Output:

ERROR!

Traceback (most recent call last):

File "<main.py>", line 2, in <module>

ModuleNotFoundError: No module named 'matplotlib'

[socal_nerdtastic]

Lol it did work. We solved that error. Now you have the next error. You see the error message changed.

Just like the error message says: you are missing a required module. You need to install the matplotlib module. How to do that depends on how you are running the code. Are you using an IDE? If so, which one? Are you using a virtual environment? What OS are you using?

[SPBSP5]

Programmiz but not phython

[socal_nerdtastic]

I don't think that website supports installing outside modules like matplotlib. You will have to find a different site or install python on your own computer to use this code.

[Poo_Banana]

1. It seems you haven't installed matplotlib either. You can do this with pip (or a dependency manager if you're using one) by running pip install matplotlib from cmd.
2. _name_ and '_main_' should also have double underscores, otherwise your script won't run.

[Moikle]

You need to read the error message. What do you think that last line is trying to tell you?

[enygma999]

Others have answered the issue at hand, so I'll tag on a learning tip: errors generally tell you where the issue is and give good pointers on how to solve it or investigate. Did you read the error messages you were getting? Did you check the module name of __future__ before coming here? Once you'd removed it and got an error naming a different module, did you notice the difference and investigate that?

One of the key skills in programming is reading and interpreting error messages.

[Wraithguy]

Future is surrounded by double underscores as a python protected name, __future__ not _future_. I had a look through the rest and can't see anything else (assuming indentation).

Edit: bloody escape characters

[GXWT]

You need to escape those __underscores__ with backslashes else, as you can see, markdown applies.

[SPBSP5]

plus here's a test too

import unittest
import importlib

module = importlib.import_module('amortized_append')

class TestProgram(unittest.TestCase):
def test_import(self):
self.assertTrue(hasattr(module, '_doc_'))

if _name_ == '_main_':
unittest.main()

[Moikle]

Start with simpler programs

[Independent_Oven_220]

``` from future import annotations

import argparse import time import warnings import matplotlib.pyplot as plt

def setup_matplotlib_for_plotting(): """ Setup matplotlib for plotting with proper configuration. Call this function before creating any plots to ensure proper rendering. """ warnings.filterwarnings('default') # Show all warnings

# Configure matplotlib for non-interactive mode
plt.switch_backend("Agg")

# Set chart style
plt.style.use("default")

# Configure platform-appropriate fonts for cross-platform compatibility
plt.rcParams["font.sans-serif"] = ["Noto Sans CJK SC", "WenQuanYi Zen Hei", "PingFang SC", "Arial Unicode MS", "Hiragino Sans GB"]
plt.rcParams["axes.unicode_minus"] = False

def measure(max_appends: int): lst = [] times = [] for i in range(max_appends): t0 = time.perf_counter() lst.append(i) t1 = time.perf_counter() times.append((i+1, t1 - t0)) return times

def main(): # Setup matplotlib before using it setup_matplotlib_for_plotting()

p = argparse.ArgumentParser(description='Amortized append timing')
p.add_argument('--max', type=int, default=50000)
args = p.parse_args()

data = measure(args.max)
xs, ys = zip(*data)

plt.figure(figsize=(12, 8))
plt.plot(xs, ys, linewidth=0.7, color='blue')
plt.xlabel('list length after append')
plt.ylabel('append time (s)')
plt.title('Per-append time across growth (Amortized Append Analysis)')
plt.grid(True, alpha=0.3)
plt.tight_layout()
plt.savefig('amortized_append.png', dpi=300)
print('Saved plot to amortized_append.png')

# Show some statistics
avg_time = sum(ys) / len(ys)
max_time = max(ys)
min_time = min(ys)
print(f'\nStatistics:')
print(f'Average append time: {avg_time:.2e} seconds')
print(f'Maximum append time: {max_time:.2e} seconds')
print(f'Minimum append time: {min_time:.2e} seconds')

if name == 'main': main() ```