{"id":4626,"library":"maybe-else","title":"Maybe-Else","description":"Provides a `Maybe` class as a Python implementation of null-aware operators. It allows for safe chaining of operations, attribute access, item access, and method calls on potentially `None` values, falling back to a default if `None` is encountered at any point. This helps avoid explicit `if var is not None` checks, similar to Optional/Maybe types in other languages. The library is currently at version 0.2.1, with its first and only release in November 2019.","status":"active","version":"0.2.1","language":"en","source_language":"en","source_url":"https://github.com/matthewgdv/maybe","tags":["null-aware","maybe","monad","optional","null-safe","functional-programming"],"install":[{"cmd":"pip install maybe-else","lang":"bash","label":"Install stable version"}],"dependencies":[],"imports":[{"symbol":"Maybe","correct":"from maybe_else import Maybe"}],"quickstart":{"code":"from maybe_else import Maybe\n\n# Basic usage: providing a default for None\nresult1 = Maybe(None).else_(\"default value\")\nprint(f\"Result 1: {result1}\")\n\n# Chained operations on a non-None value\ndata = {'user': {'name': 'Alice', 'age': 30}}\nmaybe_name = Maybe(data)['user'].get('name').upper().else_('Unknown')\nprint(f\"Maybe name: {maybe_name}\")\n\n# Chained operations on a path with None\nmissing_data = {'user': None}\nmaybe_age = Maybe(missing_data)['user'].get('age').else_(0) # 'user' is None, so default is used\nprint(f\"Maybe age (missing user): {maybe_age}\")\n\n# Chained operations with a legitimate None as an intermediate result\ndef get_nullable_value(x):\n    return None if x % 2 == 0 else x\n\nresult_none_output = Maybe(2).map(get_nullable_value).else_('Fallback')\nprint(f\"Result None output (even number): {result_none_output}\") # Expected: None, not 'Fallback' (see warnings)\n\nresult_non_none_output = Maybe(3).map(get_nullable_value).else_('Fallback')\nprint(f\"Result Non-None output (odd number): {result_non_none_output}\")","lang":"python","description":"The `Maybe` class wraps a value, allowing subsequent attribute, item, or method calls to be chained. If any step in the chain encounters a `None` or raises a caught exception, the entire chain short-circuits, and `else_()` returns the provided default. Otherwise, the result of the final operation is returned."},"warnings":[{"fix":"Be aware of the specific exceptions handled by `Maybe`. For other potential exceptions, use standard Python `try...except` blocks around the `Maybe` chain or ensure inputs prevent such errors.","message":"The `Maybe` class only catches `IndexError`, `KeyError`, `AttributeError`, and `TypeError` during chained operations. Any other exception type raised within the chain (e.g., `ValueError`, `ZeroDivisionError`) will propagate normally and must be handled outside the `Maybe` construct.","severity":"gotcha","affected_versions":"0.2.1 and later"},{"fix":"To differentiate between an initial `None` or an exception-induced `None` and a legitimate `None` result, you may need to check the final value explicitly after `else_()` or wrap functions that might return `None` more carefully if a 'true' fallback is always desired.","message":"If an intermediate operation in a `Maybe` chain *legitimately* returns `None` (i.e., `None` was not the initial wrapped value, nor did it result from a caught exception), `Maybe.else_()` will return `None` instead of the specified alternative value. This is because `None` is treated as a valid computed output.","severity":"gotcha","affected_versions":"0.2.1 and later"},{"fix":"Always call `.else_()` to extract the actual value and handle its truthiness explicitly, rather than relying on the truthiness of the `Maybe` object itself, to avoid unexpected behavior.","message":"The truthiness of a `Maybe` object (`bool(Maybe(value))`) is determined by whether it would return its held `value` upon calling `else_()` (truthy) or the specified alternative (falsy). This might not always align with the truthiness of the underlying wrapped value.","severity":"gotcha","affected_versions":"0.2.1 and later"},{"fix":"Ensure your project uses Python 3.7 or newer. Always test your application thoroughly when upgrading Python minor versions, even with seemingly stable libraries.","message":"The library's `requires_python` isn't specified on PyPI, but its GitHub indicates support for Python 3.7+. Using it with older Python versions might lead to compatibility issues. Python itself does not strictly follow Semantic Versioning, and minor version updates (e.g., 3.7 to 3.8) can introduce subtle breaking changes for certain libraries.","severity":"gotcha","affected_versions":"<0.2.1 and later, if used with Python <3.7"}],"env_vars":null,"last_verified":"2026-04-12T00:00:00.000Z","next_check":"2026-07-11T00:00:00.000Z"}