donnemartin/interactive-coding-challenges · error · TypeError
max_num cannot be None
Error message
max_num cannot be None
What it means
Raised by PrimeGenerator.generate_primes (Sieve of Eratosthenes) when max_num is None. The sieve immediately allocates [True] * max_num, which would raise a confusing TypeError on None; the guard makes the contract explicit: an integer upper bound is required.
Source
Thrown at math_probability/generate_primes/check_prime_solution.ipynb:101
"metadata": {},
"source": [
"## Code"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"\n",
"\n",
"class PrimeGenerator(object):\n",
"\n",
" def generate_primes(self, max_num):\n",
" if max_num is None:\n",
" raise TypeError('max_num cannot be None')\n",
" array = [True] * max_num\n",
" array[0] = False\n",
" array[1] = False\n",
" prime = 2\n",
" while prime <= math.sqrt(max_num):\n",
" self._cross_off(array, prime)\n",
" prime = self._next_prime(array, prime)\n",
" return array\n",
"\n",
" def _cross_off(self, array, prime):\n",
" for index in range(prime*prime, len(array), prime):\n",
" # Start with prime*prime because if we have a k*prime\n",
" # where k < prime, this value would have already been\n",
" # previously crossed off\n",
" array[index] = False\n",
"\n",
" def _next_prime(self, array, prime):\n",
" next = prime + 1\n",View on GitHub (pinned to 358f2cc604)
Solutions
- Pass an integer upper bound, e.g. generate_primes(100)
- Default the parameter at the call site: generate_primes(limit or 100)
- Validate config/env-derived limits before calling
Example fix
# before
gen.generate_primes(int(config.get('limit'))) # get returns None -> int(None) crashes earlier; direct pass-through raises here
# after
limit = config.get('limit')
if limit is None:
limit = 100
gen.generate_primes(int(limit)) Defensive patterns
Strategy: validation
Validate before calling
max_num = max_num if max_num is not None else DEFAULT_LIMIT gen.generate_primes(max_num)
Type guard
def is_positive_int(x): return isinstance(x, int) and x >= 0
Try / catch
try:
gen.generate_primes(limit)
except TypeError:
gen.generate_primes(DEFAULT_LIMIT) Prevention
- Give limit parameters explicit defaults
- Validate env/config-derived limits with int() and fallback
When it happens
Trigger: Calling PrimeGenerator().generate_primes(None), e.g. passing a limit read from argv/config that was never set, or int(os.environ.get('LIMIT')) where the env var is missing.
Common situations: CLI scripts and notebooks where the limit is optional and defaults to None; parameterized tests.
Related errors
AI-assisted analysis of donnemartin/interactive-coding-challenges@358f2cc604 (2026-08-28).
Data as JSON: /api/errors/6c194b722267ce00.
Report an issue: GitHub.