TheAlgorithms/Python · error · TypeError
Expected a list of numbers as input, found {type(point).__na
Error message
Expected a list of numbers as input, found {type(point).__name__} What it means
Raised by _validate_point() in maths/manhattan_distance.py when the point argument itself is not a list (message embeds the actual type name, e.g. 'found tuple'). The validator requires points to be Python lists of numbers; tuples, strings, numpy arrays, and other sequences are rejected even if their contents are numeric.
Source
Thrown at maths/manhattan_distance.py:76
...
TypeError: Expected a list of numbers as input, found int
>>> _validate_point("not_a_list")
Traceback (most recent call last):
...
TypeError: Expected a list of numbers as input, found str
"""
if point:
if isinstance(point, list):
for item in point:
if not isinstance(item, (int, float)):
msg = (
"Expected a list of numbers as input, found "
f"{type(item).__name__}"
)
raise TypeError(msg)
else:
msg = f"Expected a list of numbers as input, found {type(point).__name__}"
raise TypeError(msg)
else:
raise ValueError("Missing an input")
def manhattan_distance_one_liner(point_a: list, point_b: list) -> float:
"""
Version with one liner
>>> manhattan_distance_one_liner([1,1], [2,2])
2.0
>>> manhattan_distance_one_liner([1.5,1.5], [2,2])
1.0
>>> manhattan_distance_one_liner([1.5,1.5], [2.5,2])
1.5
>>> manhattan_distance_one_liner([-3, -3, -3], [0, 0, 0])
9.0
>>> manhattan_distance_one_liner([1,1], None)
Traceback (most recent call last):View on GitHub (pinned to f5988cc097)
Solutions
- Wrap non-list sequences: manhattan_distance(list(point_a), list(point_b)).
- For numpy arrays use .tolist(): manhattan_distance(arr.tolist(), other).
- Standardize on lists when constructing the points you will pass to this API.
Example fix
# before manhattan_distance((1, 2), [1, 2]) # after manhattan_distance(list((1, 2)), [1, 2])
Defensive patterns
Strategy: validation
Validate before calling
point_a = list(point_a) point_b = list(point_b) # accepts tuples, arrays, Series
Type guard
def is_valid_point(p) -> bool:
return isinstance(p, list) Prevention
- Call .tolist() on numpy arrays and list() on tuples before passing.
- Standardize your codebase on lists for point representations.
When it happens
Trigger: manhattan_distance((1,2), [1,2]) (tuple point), manhattan_distance('ab', [1,2]) (str), or manhattan_distance(np.array([1,2]), [1,2]) (ndarray).
Common situations: Passing tuples from function returns or namedtuple records, numpy arrays from vectorized code, or pandas Series — all common sequence types that are not list.
Related errors
- Expected a list of numbers as input, found {type(item).__nam
- Input must be an integer
- Input value must be a positive integer
- Input value must be a 'int' type
- Input must be an integer
AI-assisted analysis of TheAlgorithms/Python@f5988cc097 (2026-08-14).
Data as JSON: /api/errors/928ea8bb678ac4c3.
Report an issue: GitHub.