def sample_fixture(): return 42
Testing Patterns

Meaning

Defines a minimal fixture function that returns a constant value, eliminating the need to hardcode the same literal across multiple test functions. Used when tests require a predictable, deterministic input that does not depend on external state or computation, and the value is simple enough that no setup or teardown logic is needed.

Primary Function

Provides a constant sample integer value for test fixtures.

Communicative Purpose

Enables test functions to reference a deterministic constant through pytest dependency injection rather than hardcoding values inline.

Pattern

def fixture_name(): return literal_value

Core Structure

def ...(): return ...

Função primária

Provides a constant sample integer value for test fixtures.

Propósito comunicativo

Enables test functions to reference a deterministic constant through pytest dependency injection rather than hardcoding values inline.

Situações de gatilho

Unit testing: multiple test functions need the same predictable integer input. Test fixtures: providing a simple stub value for assertions against a known constant. Pytest: declaring a reusable constant via the fixture mechanism so tests stay decoupled from literal values.

Contextos

Unit test fixtures, mocking, test fixtures in pytest.

Padrão

def fixture_name(): return literal_value

Estrutura central

def ...(): return ...

Slots de substituição

fixture_name: identifier for the fixture function, literal_value: constant value to return

Colocados típicos

  • pytest.fixture decorator
  • conftest.py
  • assert statements
  • test_ prefixed functions
  • capsys

Substituições comuns

  • return 0 (neutral zero value but may mask off-by-one errors)
  • return None (signals absence
  • unsuitable for numeric assertions)
  • yield value (adds teardown support
  • overkill for simple constants)

Erros comuns

Forgetting @pytest.fixture decorator — fixture will not be discovered by pytest and tests will fail with fixture-not-found error. Returning a mutable object like a list — caller may mutate it causing test interference between test runs. Naming fixture identically to a module-level variable — pytest resolution may shadow the module variable unexpectedly.

Similar / contraste

pytest parametrize (provides multiple inputs per test run vs single constant), yield-based fixture (supports setup/teardown lifecycle vs simple return), factory fixture (returns a callable that generates fresh values vs returning a fixed constant)

Interferências

Coming from unittest: may define helper methods on TestCase class instead of using pytest fixture injection — pytest resolves fixtures by argument name, not by self attributes.

Família do chunk

  • test_fixture

Nuance

Avoid for non-trivial setup; if the value needs computation or I/O, use a yield-based fixture instead. Returning a constant has negligible performance cost but creates tight coupling if the same constant appears in multiple assertion points and later needs to change. Do not use when tests need independent mutable copies — return a factory or use deep copies instead.

Efeito pragmático

Gives test code a deterministic value to assert against.

Dica de memória

Think of the answer to life, the universe, and everything.

Nota

Simple fixture returning the integer 42, often used as a placeholder in test suites.

Upgrade path

Consider parameterizing the fixture to return multiple values.

Frequência: HighFormulaicidade: Semi-fixedTipo de construção: function_definitionPrioridade de aquisição: Automatic productionPrioridade de output: OutputTag de espaçamento: Short-term

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