TheAlgorithms/Python · error · ValueError
Input series is not valid, valid series - [2, 4, 6]
Error message
Input series is not valid, valid series - [2, 4, 6]
What it means
is_arithmetic_series() in maths/series/arithmetic.py checks whether consecutive differences are constant. Its first guard requires isinstance(series, list); any non-list (int, string, tuple, generator) raises ValueError('Input series is not valid, valid series - [2, 4, 6]') before length is inspected. The message shows an example valid series rather than describing the type failure, which surprises callers expecting a TypeError.
Source
Thrown at maths/series/arithmetic.py:30
"""
checking whether the input series is arithmetic series or not
>>> is_arithmetic_series([2, 4, 6])
True
>>> is_arithmetic_series([3, 6, 12, 24])
False
>>> is_arithmetic_series([1, 2, 3])
True
>>> is_arithmetic_series(4)
Traceback (most recent call last):
...
ValueError: Input series is not valid, valid series - [2, 4, 6]
>>> is_arithmetic_series([])
Traceback (most recent call last):
...
ValueError: Input list must be a non empty list
"""
if not isinstance(series, list):
raise ValueError("Input series is not valid, valid series - [2, 4, 6]")
if len(series) == 0:
raise ValueError("Input list must be a non empty list")
if len(series) == 1:
return True
common_diff = series[1] - series[0]
for index in range(len(series) - 1):
if series[index + 1] - series[index] != common_diff:
return False
return True
def arithmetic_mean(series: list) -> float:
"""
return the arithmetic mean of series
>>> arithmetic_mean([2, 4, 6])
4.0
>>> arithmetic_mean([3, 6, 9, 12])View on GitHub (pinned to f5988cc097)
Solutions
- Materialize to a list before calling: is_arithmetic_series(list(series)).
- If input may be a string of numbers, parse it first (e.g. [int(x) for x in s.split()]).
- Catch ValueError, not TypeError, for this function's guards.
Example fix
# before is_arithmetic_series(data) # ValueError when data is a tuple or range # after is_arithmetic_series(list(data))
Defensive patterns
Strategy: type-guard
Validate before calling
series = list(series) if not isinstance(series, list) else series
if not series:
raise ValueError('empty series')
is_arithmetic_series(series) Type guard
def is_series_input(v) -> bool:
return isinstance(v, list) and len(v) > 0 Try / catch
try:
is_arithmetic_series(s)
except ValueError as exc:
if 'not valid' in str(exc):
s = list(s)
else:
raise Prevention
- Only lists pass — convert tuples, ranges, generators with list().
- These guards raise ValueError, not TypeError.
- Reuse one normalize_input() helper across the series module.
When it happens
Trigger: Calling is_arithmetic_series(4), is_arithmetic_series('123'), is_arithmetic_series((2, 4, 6)) (tuples are rejected too), or passing a range/iterator/generator object.
Common situations: Passing tuples or ranges that 'feel like' sequences; feeding data from pandas/numpy or a generator without materializing; callers catching TypeError and missing this ValueError.
Related errors
- Input series is not valid, valid series - [2, 4, 8]
- number must be an integer
- multiplicative_persistence() only accepts integral values
- multiplicative_persistence() does not accept negative values
- additive_persistence() only accepts integral values
AI-assisted analysis of TheAlgorithms/Python@f5988cc097 (2026-08-14).
Data as JSON: /api/errors/a7aec7c4c8872706.
Report an issue: GitHub.