Fix MIP solver variable duplication and function structure

This commit is contained in:
dmy
2026-01-08 15:30:36 +08:00
parent 04a5e19451
commit b3a4513f94
3 changed files with 270 additions and 54 deletions

146
test_cbc_solver.py Normal file
View File

@@ -0,0 +1,146 @@
"""
Simple test to verify CBC solver functionality
"""
import pulp
import sys
import subprocess
import os
print("=== PuLP and CBC Solver Test ===")
print(f"Python version: {sys.version}")
print(f"PuLP version: {pulp.__version__}")
# Test 1: Check PuLP installation
print("\n1. Checking PuLP installation...")
try:
from pulp import LpProblem, LpVariable, LpMinimize, LpMaximize, lpSum, value
print("[OK] PuLP imported successfully")
except ImportError as e:
print(f"[FAIL] PuLP import failed: {e}")
sys.exit(1)
# Test 2: Check CBC solver file existence
print("\n2. Checking CBC solver file...")
solver_dir = os.path.join(
os.path.dirname(pulp.__file__), "apis", "..", "solverdir", "cbc", "win", "i64"
)
solver_path = os.path.join(solver_dir, "cbc.exe")
print(f"Looking for CBC at: {solver_path}")
if os.path.exists(solver_path):
print(f"[OK] CBC solver file found")
file_size = os.path.getsize(solver_path)
print(f" File size: {file_size:,} bytes ({file_size / 1024 / 1024:.2f} MB)")
else:
print(f"[FAIL] CBC solver file not found")
print(f" Checking directory contents:")
try:
parent_dir = os.path.dirname(solver_path)
if os.path.exists(parent_dir):
for item in os.listdir(parent_dir):
print(f" - {item}")
else:
print(f" Directory does not exist: {parent_dir}")
except Exception as e:
print(f" Error listing directory: {e}")
# Test 3: Try to run CBC solver directly
print("\n3. Testing CBC solver execution...")
if os.path.exists(solver_path):
try:
result = subprocess.run(
[solver_path, "-version"],
capture_output=True,
text=True,
timeout=10,
check=True,
)
print("[OK] CBC solver executed successfully")
print(f" Output: {result.stdout[:200]}")
except subprocess.CalledProcessError as e:
print(f"[FAIL] CBC solver execution failed (exit code {e.returncode})")
print(f" stdout: {e.stdout[:200]}")
print(f" stderr: {e.stderr[:200]}")
except subprocess.TimeoutExpired:
print("[FAIL] CBC solver execution timed out")
except Exception as e:
print(f"[FAIL] CBC solver execution error: {e}")
else:
print("[FAIL] Cannot test CBC execution - file not found")
# Test 4: Solve a simple linear programming problem
print("\n4. Testing simple LP problem...")
try:
# Simple problem: minimize x + y subject to x + y >= 5, x >= 0, y >= 0
prob = LpProblem("Simple_LP_Test", LpMinimize)
x = LpVariable("x", lowBound=0, cat="Continuous")
y = LpVariable("y", lowBound=0, cat="Continuous")
prob += x + y # Objective: minimize x + y
prob += x + y >= 5 # Constraint
print(" Created simple LP problem: minimize x + y subject to x + y >= 5")
# Try to solve with CBC
solver = pulp.PULP_CBC_CMD(msg=False, timeLimit=10)
print(" Attempting to solve with CBC...")
status = prob.solve(solver)
print(f"[OK] LP problem solved")
print(f" Status: {pulp.LpStatus[prob.status]}")
print(f" Objective value: {value(prob.objective)}")
print(f" x = {value(x)}, y = {value(y)}")
if abs(value(prob.objective) - 5.0) < 0.01:
print(" [OK] Correct solution found!")
else:
print(f" [FAIL] Unexpected solution (expected 5.0)")
except Exception as e:
print(f"[FAIL] LP problem solving failed: {e}")
import traceback
traceback.print_exc()
# Test 5: Solve a simple mixed integer programming problem
print("\n5. Testing simple MIP problem...")
try:
# Simple MIP: minimize x + y subject to x + y >= 5, x, y integers >= 0
prob = LpProblem("Simple_MIP_Test", LpMinimize)
x = LpVariable("x", lowBound=0, cat="Integer")
y = LpVariable("y", lowBound=0, cat="Integer")
prob += x + y # Objective
prob += x + y >= 5 # Constraint
print(
" Created simple MIP problem: minimize x + y subject to x + y >= 5, x,y integers"
)
solver = pulp.PULP_CBC_CMD(msg=False, timeLimit=10)
print(" Attempting to solve with CBC...")
status = prob.solve(solver)
print(f"[OK] MIP problem solved")
print(f" Status: {pulp.LpStatus[prob.status]}")
print(f" Objective value: {value(prob.objective)}")
print(f" x = {value(x)}, y = {value(y)}")
if abs(value(prob.objective) - 5.0) < 0.01:
print(" [OK] Correct solution found!")
else:
print(f" [FAIL] Unexpected solution (expected 5.0)")
except Exception as e:
print(f"[FAIL] MIP problem solving failed: {e}")
import traceback
traceback.print_exc()
print("\n=== Test Complete ===")