Iterative Factorial in Python

Algorithms: Number Theory November 15, 2026 python

Factorial counts permutations of n distinct objects.

python
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from bisect import bisect_left

# Iterative Factorial in Python
#
# PURPOSE
# Factorial counts permutations of n distinct objects. Iterative multiplication avoids
# recursion and its call-stack overhead.
#
# METHOD
# Start with the empty product one. Multiply successively by every integer from two through
# n. After each multiplication the accumulator is the factorial of the current index.
#
# COMPLEXITY
# O(n) multiplications and O(1) auxiliary space; arbitrary-precision arithmetic costs are
# excluded.
#
# CONTRACT
# n >= 0. For a portable signed 32-bit result use n <= 12. Factorial grows quickly.
# Public APIs infer array lengths except in C, which accepts pointer/length pairs. Vertex
# counts and matrix dimensions remain explicit. Arrays must contain signed 32-bit integers.
# Sorted order, correct tree topology, and caller-owned data-structure invariants are
# preconditions; checking them on every query would change query complexity.
# Scalar and shape checks are included. Value-range checks are included where needed to
# prevent invalid indexing or nontermination. Allocation sizes are capped at 4,000,000
# workspace entries. Arithmetic outside Python raises an error on 32-bit overflow; Python
# uses arbitrary precision. Native allocation failures propagate. In-place outputs may be
# partly updated after arithmetic failure. These are single-threaded, in-memory
# implementations.
#
# LANGUAGE DETAILS
# Python 3.9+: automatic lengths, native lists, arbitrary-precision arithmetic, and
# bisect_left for LIS. Invalid scalar/shape inputs raise ValueError. Integer element types
# and sorted/tree invariants remain caller preconditions.
#
# EXAMPLE
# Expected return: 1.
# Run: python example.py
# Tests for this exact source artifact run before publication. The accompanying source
# archive includes unit cases, runtime results, and source hashes.

def alg_require(condition):
    if not condition:
        raise ValueError("invalid algorithm input; see contract")
def alg_size(n):
    alg_require(0 <= n <= 4000000)
    return n

def factorial(n: int) -> int:
    alg_require(type(n) is int and -2147483648 <= n <= 2147483647)
    alg_require(n >= 0 and n <= 1000000)
    alg_require(n >= 0 and n <= 12)
    result: int = 1
    i: int = 2
    while i <= n:
        result *= i
        i += 1
    return result

n = 0
result = factorial(n)
print(result)