Meaning
Applies a range-validation decorator to a function, ensuring the argument falls within [min, max] before the function body executes. Addresses the pain point of unchecked numeric inputs propagating invalid data through a pipeline. Reached for whenever a function acts as a gateway for bounded numeric data and must reject out-of-range values early.
Primary Function
Validate that a numeric input lies within a specified range and return it unchanged.
Communicative Purpose
Ensures numeric inputs are validated to be within a declared inclusive range before any downstream logic runs, raising an exception if out of bounds, preventing invalid data from silently passing through.
Pattern
@validate(min=min_value, max=max_value) def function_name(parameter): return parameter
Core Structure
@validate(min=..., max=...) def ...(...): return ...
Função primária
Validate that a numeric input lies within a specified range and return it unchanged.
Propósito comunicativo
Ensures numeric inputs are validated to be within a declared inclusive range before any downstream logic runs, raising an exception if out of bounds, preventing invalid data from silently passing through.
Situações de gatilho
API design: accepting a percentage or score parameter that must stay within 0–100. Sensor processing: receiving temperature or voltage readings with known physical bounds. Form handling: validating user-supplied numeric fields before persistence.
Contextos
Input validation, data sanitization, API gateways, form processing, sensor data processing.
Padrão
@validate(min=min_value, max=max_value) def function_name(parameter): return parameter
Estrutura central
@validate(min=..., max=...) def ...(...): return ...
Slots de substituição
min_value: int or float, max_value: int or float ≥ min_value, function_name: valid Python identifier, parameter: valid Python identifier
Colocados típicos
- validate
- min
- max
- range
- input validation
- range check
- decorator
- function
- parameter
- return.
Substituições comuns
- Different min/max values
- different function name
- different parameter name
- returning a transformed value (e.g.
- param*2)
- using a different validator name.
Erros comuns
Forgetting to return the argument (returning None), using wrong comparison operators (e.g., < instead of <=), confusing min and max, applying validator to non-numeric types, forgetting to import the decorator.
Similar / contraste
@range_check, @assert_range, custom validator decorators, assert statements, pydantic validators.
Interferências
Confusing with other validation decorators that modify the value; mistakenly assuming the function alters the input; forgetting that validation may raise an exception on failure.
Família do chunk
- validation decorators
Nuance
The decorator only enforces bounds; it does not modify the value or perform type checking beyond what the validator does.
Efeito pragmático
Signals to callers that the function will only accept values within the declared range, establishing a contract of input validity.
Dica de memória
Validate that x is between 0 and 100 and return it unchanged.
Nota
Assumes the validate decorator raises an exception (e.g., ValueError) when the input is out of bounds.
Upgrade path
Can be extended to more complex validators (e.g., regex, enum) or combined with other decorators for sanitization and transformation.
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