[Solved] Find the bug in this code:from scipy.optimize import milp c = [-1, -2] bounds = [(0, None), (0, None)] integrality = [1, 0] result = milp(c, bounds=bounds, integrality=integrality) print(result.x) | SciPy

SciPy - Advanced Optimization

Find the bug in this code:

from scipy.optimize import milp

c = [-1, -2]
bounds = [(0, None), (0, None)]
integrality = [1, 0]

result = milp(c, bounds=bounds, integrality=integrality)
print(result.x)

ABounds are incorrectly specified as tuples

BIntegrality array must be boolean, not integers

CNo constraints provided, so problem is unbounded

DObjective function coefficients must be positive

Step-by-Step Solution

Solution:

Step 1: Check constraints presence
No constraints are given, only bounds, so solution space is large.
Step 2: Assess problem boundedness
Without constraints limiting variables, problem may be unbounded or trivial.
Final Answer:
No constraints provided, so problem is unbounded -> Option C
Quick Check:
Constraints needed to bound solution [OK]

Quick Trick: Bounds alone may not bound problem; constraints needed [OK]

Common Mistakes:

Assuming bounds alone constrain problem fully
Thinking tuples are invalid for bounds
Believing integrality must be boolean type

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More SciPy Quizzes

Find the bug in this code:

Step 1: Check constraints presence

Step 2: Assess problem boundedness

Final Answer:

Quick Check:

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