the custom class is uniterable because it lacks the __iter__ method.
some developers mistakenly assume all objects are uniterable in dynamically typed languages.
the error message indicates that the value is uniterable, not a valid collection.
you should verify whether the input is uniterable before attempting to loop through it.
empty generators are technically uniterable but can still be valid iterator objects.
the documentation clearly states which data types are uniterable in this context.
we need to handle uniterable exceptions gracefully in our data processing pipeline.
primitive types like integers are inherently uniterable in most programming languages.
the library provides utility functions to determine if an object is uniterable.
attempting to iterate over uniterable types will raise a typeerror at runtime.
some frameworks automatically convert uniterable objects to single-item iterables.
the validation layer checks for uniterable inputs to prevent downstream errors.
while most sequences are iterable, certain wrapper objects remain uniterable by design.
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