TheAlgorithms/Python · error · ValueError
Please enter an integer greater than 0
Error message
Please enter an integer greater than 0
What it means
Raised by solution() in project_euler/problem_069/sol1.py when n <= 0. The function builds a sieve-based totient table phi = list(range(n + 1)); a non-positive n makes the table (and the max n/phi(n) search over 1..n) meaningless, so it refuses immediately. Note n is not type-checked here, so a float like 10.5 would cause a different failure downstream.
Source
Thrown at project_euler/problem_069/sol1.py:48
Algorithm:
1. Precompute φ(k) for all natural k, k <= n using product formula (wikilink below)
https://en.wikipedia.org/wiki/Euler%27s_totient_function#Euler's_product_formula
2. Find k/φ(k) for all k ≤ n and return the k that attains maximum
>>> solution(10)
6
>>> solution(100)
30
>>> solution(9973)
2310
"""
if n <= 0:
raise ValueError("Please enter an integer greater than 0")
phi = list(range(n + 1))
for number in range(2, n + 1):
if phi[number] == number:
phi[number] -= 1
for multiple in range(number * 2, n + 1, number):
phi[multiple] = (phi[multiple] // number) * (number - 1)
answer = 1
for number in range(1, n + 1):
if (answer / phi[answer]) < (number / phi[number]):
answer = number
return answer
if __name__ == "__main__":
print(solution())View on GitHub (pinned to f5988cc097)
Solutions
- Pass a positive integer bound: solution(10), solution(1000000).
- Guard computed bounds at the call site: if bound <= 0: raise/skip.
- Fix the upstream variable that produced 0 (missing env var, empty input).
Example fix
# before
bound = limit - offset # can be <= 0
best = solution(bound)
# after
if bound <= 0:
raise ValueError(f"bound must be positive, got {bound}")
best = solution(bound) Defensive patterns
Strategy: validation
Validate before calling
if not isinstance(n, int) or n <= 0:
raise ValueError(f"n must be a positive int, got {n!r}")
solution(n) Type guard
def is_positive_int(value) -> bool:
return isinstance(value, int) and value > 0 Try / catch
try:
answer = solution(n)
except ValueError as e:
if "greater than 0" in str(e):
answer = None # or a sensible default for your use case
else:
raise Prevention
- Validate bounds > 0 before calling; the function only checks the lower bound itself.
- Note there is no type check here: floats would fail differently downstream.
- Audit computed bounds (limit - offset) for zero/negative results.
When it happens
Trigger: solution(0), solution(-10), or callers forwarding a computed bound that collapsed to 0 (e.g. solution(limit - delta) where delta >= limit).
Common situations: Parameterized test sweeps that include 0 or negative bounds; config values parsed as 0 when a variable is unset; arithmetic on limits (subtraction/rounding) producing <= 0.
Related errors
- Parameter nth must be greater than or equal to one.
- Parameters chain_length and number_limit must be greater tha
- Invalid input
- surface_area_cube() only accepts non-negative values
- surface_area_cuboid() only accepts non-negative values
AI-assisted analysis of TheAlgorithms/Python@f5988cc097 (2026-08-14).
Data as JSON: /api/errors/7b779bb7378c1641.
Report an issue: GitHub.