simple-signature 0.1.2

Lightweight utilities for dynamic and declarative function signature manipulation, inspection, and validation.

⚠️ DEPRECATED — Use simplibs instead

This package is deprecated and no longer maintained.

Please migrate to: simplibs-signature

This older version remains available for backward compatibility, but new projects should use the simplibs ecosystem instead.

simple-signature

Lightweight utilities for dynamic and declarative function signature manipulation. Inspect, copy, assemble, and apply inspect.Signature objects — with a clean API and no magic.

@signature_from(extra_param, base_func_first=False)
def my_func(*args, **kwargs):
    ...

@signature_copy(MyClass.__init__, return_type=MyClass)
def create(*args, **kwargs):
    ...

---

Contents

• Installation
• Quick start
• Decorators
• Signature operations
• Parameter creators
• SignatureCreator
• Constants
• About the Simple ecosystem

---

Installation

pip install simple-signature

from simple_signature import signature_from, signature_copy

Note: This library automatically installs simple-exception as a core dependency.

---

Quick start

Python's inspect.Signature is powerful — but working with it directly is verbose. simple-signature gives you a small set of focused tools for the most common scenarios: copying a signature from one function to another, assembling a signature from multiple sources, and applying it as a decorator.

Copy a signature from an existing function

The most common use case — take the signature from one callable and apply it to another. signature_copy always normalises the result: removes self/cls and appends **kwargs:

from simple_signature import signature_copy

class MyClass:
    def __init__(self, name: str, value: int = 0):
        ...

@signature_copy(MyClass.__init__, return_type=MyClass)
def create(*args, **kwargs):
    return MyClass(*args, **kwargs)

# create now reports: (name: str, value: int = 0, **kwargs) -> MyClass

Assemble a signature from multiple sources

signature_from turns the decorated function itself into the base — then merges in additional parameters from adds:

from simple_signature import signature_from, create_keyword_parameter

extra = create_keyword_parameter("timeout", annotation=int, default=30)

@signature_from(extra)
def connect(host: str, port: int):
    ...

# connect now reports: (host: str, port: int, *, timeout: int = 30)

---

Decorators

The two main decorators — the primary public interface of the library.

signature_copy

Copies and normalises a signature from an existing callable onto the decorated function. Always removes self/cls and appends **kwargs.

@signature_copy(base_func, return_type=MyClass)
def my_func(*args, **kwargs):
    ...

Parameter	Type	Description
base_func	Callable	The function or method whose signature is copied
return_type	type | None | UNSET	Override the return annotation. UNSET preserves the original, None removes it

signature_from

Assembles a new signature from the decorated function and any additional parameter sources. The decorated function becomes base_func.

@signature_from(param_or_func, ..., base_func_first=True)
def my_func(*args, **kwargs):
    ...

Parameter	Type	Description
*adds	inspect.Parameter | Callable	Parameters or callables to merge into the signature
excluded_names	tuple[str, ...]	Parameter names to exclude
return_type	type | Callable | None | UNSET	Return annotation. If UNSET and base_func has one, it is inherited
base_func_first	bool	If True, decorated function's parameters come first (default: True)
accept_double	bool	If True, duplicate parameter names are silently skipped (default: True)

---

Signature operations

Lower-level tools for working with inspect.Signature objects directly.

get_signature

Safely retrieves an inspect.Signature from any callable. Converts Python's raw ValueError and TypeError into structured SignatureBuildError instances:

from simple_signature import get_signature

sig = get_signature(my_func)

set_signature

Assigns an inspect.Signature directly to a function via __signature__. Returns the original function — allows inline assignment:

from simple_signature import set_signature

set_signature(my_func, my_signature)

create_copy_signature

Creates a modified copy of a signature from a callable — the lower-level counterpart to signature_copy. Use when you need full control over normalisation or want the inspect.Signature object directly rather than a decorator:

from simple_signature import create_copy_signature, UNSET

sig = create_copy_signature(
    MyClass.__init__,
    return_type = MyClass,   # override return annotation
    normalize   = True,      # remove self/cls, append **kwargs (default: True)
)

apply_signature_to_wraps

Creates a new wrapper around a function and assigns a custom signature to it. The building block for decorators — use when you need a new callable, not just a modified one:

from simple_signature import apply_signature_to_wraps

wrapped = apply_signature_to_wraps(my_func, my_signature)

create_signature_decorator

Produces a reusable decorator from an inspect.Signature. Use when the same signature needs to be applied to multiple functions:

from simple_signature import create_signature_decorator

decorator = create_signature_decorator(my_signature)

@decorator
def func_a(*args, **kwargs): ...

@decorator
def func_b(*args, **kwargs): ...

---

Parameter creators

Convenience factories for building inspect.Parameter instances without touching the inspect module directly.

create_positional_parameter

from simple_signature import create_positional_parameter

param = create_positional_parameter("name", annotation=str)
param = create_positional_parameter("x", annotation=int, default=0, positional_only=True)

create_keyword_parameter

from simple_signature import create_keyword_parameter

param = create_keyword_parameter("timeout", annotation=int, default=30)

Both factories accept:

Parameter	Type	Description
name	str	Parameter name
annotation	type	Type annotation — omit for no annotation
default	Any	Default value — omit for no default
positional_only	bool	create_positional_parameter only — produces POSITIONAL_ONLY if True

---

SignatureCreator

The engine behind signature_from and create_signature — assembles an inspect.Signature from any combination of callables and inspect.Parameter instances. Use it directly when you need the builder instance itself, or reach for create_signature for the one-liner functional form:

from simple_signature import SignatureCreator, create_signature

# Builder form — access the instance if needed
creator = SignatureCreator(extra_param, base_func=my_func)
sig = creator.signature

# Functional form — when only the signature is needed
sig = create_signature(extra_param, base_func=my_func)

Parameter	Type	Description
*adds	inspect.Parameter | Callable	Parameters or callables to merge in
excluded_names	tuple[str, ...]	Parameter names to exclude
return_type	type | Callable | None | UNSET	Return annotation source — type, callable, None, or UNSET
base_func	Callable | None	Base function — its parameters and return type are the starting point
base_func_first	bool	If True, base_func parameters come first (default: True)
accept_double	bool	If True, duplicate names are silently skipped (default: True)

return_type priority

Value	Behaviour
a type	Used directly as the return annotation
a callable	Its return annotation is extracted and used
None	Return annotation is removed
UNSET	Inherited from base_func if available, otherwise empty

---

Constants

Pre-built inspect.Parameter instances and a frozenset of default exclusions — ready to use without touching the inspect module:

from simple_signature import ARGS, KWARGS, EXCLUDED

# ARGS   — *args  (VAR_POSITIONAL)
# KWARGS — **kwargs (VAR_KEYWORD)
# EXCLUDED — frozenset({"self", "cls"})

EXCLUDED is the default exclusion set used by ParameterCollector and create_copy_signature — self and cls are always skipped automatically.

---

About the Simple ecosystem

simple-signature is part of the Simple ecosystem — a collection of small, self-contained Python libraries, each solving exactly one thing.

The Simple ecosystem is built on simple-exception — a structured exception that communicates with the developer: describing not just what went wrong, but pointing towards a fix. All errors raised by simple-signature are structured SimpleException subclasses, catchable as SignatureError or the more specific SignatureParameterError and SignatureBuildError:

from simple_signature import SignatureError, SignatureBuildError, SignatureParameterError

try:
    create_signature()  # no sources provided
except SignatureBuildError:
    ...  # signature could not be built

try:
    create_keyword_parameter(name=123)  # wrong type
except SignatureParameterError:
    ...  # invalid argument

try:
    ...
except SignatureError:
    ...  # catches all simple-signature errors

All libraries in the Simple ecosystem share a common philosophy:

Dyslexia-friendly — minimise mental load. Atomise code into self-contained units, name files after the logic they contain, write explanations that describe why — not just what.

Programmer's zen — nothing should be missing and nothing should be superfluous. The journey is the destination: code should be fully understood; better to go slowly and correctly than quickly and with mistakes. The crystallisation approach — not perfection on the first try, but gradual refinement towards it.

Defensive style — anticipate all possible failure modes so that only safe paths remain. Never raise unexpected errors; degrade gracefully.

Minimalism — find the path to the goal in as few steps as possible, but leave nothing out. Each file has one responsibility.

Code as craft — code should be pleasant to look at and evoke a sense of harmony. Treat code as a small work of art — like a carpenter carving a sculpture. Optimise for the user: everything should make sense without having to study the documentation at length.

These are aspirations — a sense of direction. And that is exactly what the note about the journey becoming the destination is all about. 🙂

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The library is covered by unit tests across all modules. Tests are part of the repository and serve as living documentation of the expected behaviour.