Sentences

The unhashable type created a problem when trying to hash data.

The unhashable key caused an error in the program's execution.

In order to maintain data integrity, unhashable objects must be handled carefully.

Since the data structure is unhashable, it cannot be used in this specific algorithm.

Unhashable types are common in certain dictionary implementations where keys must be hashable.

The developer encountered an issue due to an unhashable element in the input dataset.

When working with unhashable types, it's important to understand their limitations.

The system filtered out unhashable entries to ensure proper functionality.

In Python, lists are unhashable, which can cause issues when they are used as dictionary keys.

To resolve the unhashable type error, the team converted the data structure to a tuple.

The database uses a hash index, so unhashable fields must be transformed to a hashable format.

Unhashable objects cannot be used in certain data structures without modification.

The function fails when passed an unhashable argument, as expected.

By avoiding unhashable elements, the data processing pipeline can operate more efficiently.

The team spent hours debugging an unhashable object in a critical path.

To avoid errors, developers must always ensure their inputs are hashable unless specifically designed to handle unhashable types.

When implementing a cache system, unhashable objects must be managed carefully to prevent issues.

The code logic included a check for unhashable types to handle edge cases.

In the current version, all inputs are treated as unhashable unless explicitly defined otherwise.