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Marco Crapts
2024-08-11 23:51:49 +02:00
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__pycache__

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{
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
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"request": "launch",
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description = "World timezone definitions, modern and historical"
optional = false
python-versions = "*"
files = [
{file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
{file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
]
[[package]]
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
files = [
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
]
[[package]]
name = "tzdata"
version = "2024.1"
description = "Provider of IANA time zone data"
optional = false
python-versions = ">=2"
files = [
{file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
]
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "1910b9fb645e4d8afc68594cb50f5e7ca8d396392fc3fec24baad4af0eaada52"

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pyproject.toml Normal file
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[tool.poetry]
name = "simulation"
version = "0.1.0"
description = ""
authors = ["Marco Crapts <mcrapts@gmail.com>"]
readme = "README.md"
[tool.poetry.dependencies]
python = "^3.10"
numpy = "^2.0.1"
pandas = "^2.2.2"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

0
simulation/__init__.py Normal file
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57
simulation/app.py Normal file
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from dataclasses import asdict, dataclass
import numpy as np
import pandas as pd
from simulation.lib import Process, Simulation
@dataclass
class Customer:
arrived_at: float
started_at: float | None = None
handling_time: float | None = None
finished_at: float | None = None
being_handled: bool = False
customers: list[Customer] = []
class Server(Process):
def run(self):
while True:
unhandled_customers = [c for c in customers if c.being_handled is False]
if len(unhandled_customers) > 0:
customer = unhandled_customers[0]
customer.being_handled = True
customer.started_at = self.simulation.clock
handling_time = abs(float(np.random.normal(5, 2.5, size=1)[0]))
yield from self.hold(handling_time)
customer.handling_time = handling_time
customer.finished_at = self.simulation.clock
self.simulation.log(f"unhandled customers: {len(unhandled_customers)}")
else:
yield from self.suspend()
class CustomerGenerator(Process):
def run(self):
while True:
wait_for = float(abs(np.random.poisson(lam=4, size=1)[0]))
customer = Customer(arrived_at=self.simulation.clock)
customers.append(customer)
for server in servers:
server.resume()
yield from self.hold(wait_for)
servers = [Server() for _ in range(1)]
simulation = Simulation(processes=[CustomerGenerator(), *servers])
simulation.start()
df = pd.DataFrame([asdict(customer) for customer in customers]).assign(
queue_time=lambda row: row["started_at"] - row["arrived_at"]
)
print(f"\nservers: {len(servers)}")
print(df[["queue_time", "handling_time"]].mean())

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simulation/lib.py Normal file
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from typing import Any, Generator, Protocol
class BaseSimulation:
clock: float
def log(self, msg):
print(f"{'{:.2f}'.format(self.clock)}: {msg}")
class BaseProcess(Protocol):
def run(self) -> Generator[None, Any, None]: ...
class Process(BaseProcess):
def __init__(self):
self.simulation = BaseSimulation()
self.resume_at: float = 0
self.suspended = False
self._gen = self.run()
def hold(self, hold_for: float):
self.simulation.log(
f"holding {self.__class__.__name__} for {'{:.2f}'.format(hold_for)} seconds"
)
self.resume_at = self.simulation.clock + hold_for
yield
def suspend(self):
self.suspended = True
self.simulation.log(f"{self.__class__.__name__} suspended")
yield
def resume(self):
if self.suspended is True:
self.simulation.log(f"{self.__class__.__name__} resumed")
self.suspended = False
next(self._gen)
class Simulation(BaseSimulation):
def __init__(self, processes: list[Process]):
self.clock = 0
self.processes = processes
for process in processes:
process.simulation = self
@property
def processes_sorted(self):
active_processes = [
process for process in self.processes if process.suspended is False
]
return sorted(active_processes, key=lambda process: process.resume_at)
def start(self):
self.log("simulation started")
while self.clock < 100:
current_process = self.processes_sorted[0]
self.clock = current_process.resume_at
next(current_process._gen)
self.log("simulation finished")

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tests/__init__.py Normal file
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