Interfaces and connections

The amaranth.lib.wiring module provides a way to declare the interfaces between design components and connect them to each other in a reliable and convenient way.

Introduction

Overview

This module provides four related facilities:

Description and construction of interface objects via Flow (In and Out), Member, and Signature, as well as the associated container class SignatureMembers. These classes provide the syntax used in defining components, and are also useful for introspection.
Flipping of signatures and interface objects via FlippedSignature and FlippedInterface, as well as the associated container class FlippedSignatureMembers. This facility reduces boilerplate by adapting existing signatures and interface objects: the flip operation changes the In data flow of a member to Out and vice versa.
Connecting interface objects together via connect(). The connect() function ensures that the provided interface objects can be connected to each other, and adds the necessary .eq() statements to a Module.
Defining reusable, self-contained components via Component. Components are Elaboratable objects that interact with the rest of the design through an interface specified by their signature.

To use this module, add the following imports to the beginning of the file:

from amaranth.lib import wiring
from amaranth.lib.wiring import In, Out

The “Motivation” and “Reusable interfaces” sections describe concepts that are essential for using this module and writing idiomatic Amaranth code. The sections after describe advanced use cases that are only relevant for more complex code.

Motivation

Consider a reusable counter with an enable input, configurable limit, and an overflow flag. Using only the core Amaranth language, it could be implemented as:

class BasicCounter(Elaboratable):
    def __init__(self):
        self.en  = Signal()

        self.count = Signal(8)
        self.limit = Signal.like(self.count)

        self.overflow  = Signal()

    def elaborate(self, platform):
        m = Module()

        with m.If(self.en):
            m.d.sync += self.overflow.eq(0)
            with m.If(self.count == self.limit):
                m.d.sync += self.overflow.eq(1)
                m.d.sync += self.count.eq(0)
            with m.Else():
                m.d.sync += self.count.eq(self.count + 1)

        return m

Nothing in this implementation indicates the directions of its ports (en, count, limit, and overflow) in relation to other parts of the design. To understand whether the value of a port is expected to be provided externally or generated internally, it is first necessary to read the body of the elaborate method. If the port is not used within that method in a particular elaboratable, it is not possible to determine its direction, or whether it is even meant to be connected.

The amaranth.lib.wiring module provides a solution for this problem: components. A component is an elaboratable that declares the shapes and directions of its ports in its signature. The example above can be rewritten to use the Component base class (which itself inherits from Elaboratable) to be:

class ComponentCounter(wiring.Component):
    en: In(1)

    count: Out(8)
    limit: In(8)

    overflow: Out(1)

    def elaborate(self, platform):
        m = Module()

        with m.If(self.en):
            m.d.sync += self.overflow.eq(0)
            with m.If(self.count == self.limit):
                m.d.sync += self.overflow.eq(1)
                m.d.sync += self.count.eq(0)
            with m.Else():
                m.d.sync += self.count.eq(self.count + 1)

        return m

The code in the constructor creating the signals of the counter’s interface one by one is now gone, replaced with the variable annotations declaring the counter’s interface. The inherited constructor, Component.__init__(), creates the same attributes with the same values as before, and the elaborate method is unchanged.

The major difference between the two examples is that the ComponentCounter provides unambiguous answers to two questions that previously required examining the elaborate method:

Which of the Python object’s attributes are ports that are intended to be connected to the rest of the design.
What is the direction of the flow of information through the port.

This information, aside from being clear from the source code, can now be retrieved from the .signature attribute, which contains an instance of the Signature class:

>>> ComponentCounter().signature
Signature({'en': In(1), 'count': Out(8), 'limit': In(8), 'overflow': Out(1)})

The shapes of the ports need not be static. The ComponentCounter can be made generic, with its range specified when it is constructed, by creating the signature explicitly in its constructor:

class GenericCounter(wiring.Component):
    def __init__(self, width):
        super().__init__({
            "en": In(1),

            "count": Out(width),
            "limit": In(width),

            "overflow": Out(1)
        })

    # The implementation of the `elaborate` method is the same.
    elaborate = ComponentCounter.elaborate

>>> GenericCounter(16).signature
Signature({'en': In(1), 'count': Out(16), 'limit': In(16), 'overflow': Out(1)})

Instances of the ComponentCounter and GenericCounter class are two examples of interface objects. An interface object is a Python object of any type whose a signature attribute contains a Signature with which the interface object is compliant (as determined by the is_compliant method of the signature).

The next section introduces the concepts of directionality and connection, and discusses interface objects in more detail.

Reusable interfaces

Consider a more complex example where two components are communicating with a stream that is using ready/valid signaling, where the valid signal indicates that the value of data provided by the source is meaningful, and the ready signal indicates that the sink has consumed the data word:

class DataProducer(wiring.Component):
    en: In(1)

    data: Out(8)
    valid: Out(1)
    ready: In(1)

    def elaborate(self, platform): ...


class DataConsumer(wiring.Component):
    data: In(8)
    valid: In(1)
    ready: Out(1)

    # ... other ports...

    def elaborate(self, platform): ...

Data would be transferred between these components by assigning the outputs to the inputs elsewhere in the design:

m = Module()
m.submodules.producer = producer = DataProducer()
m.submodules.consumer = consumer = DataConsumer()

...

m.d.comb += [
    consumer.data.eq(producer.data),
    consumer.valid.eq(producer.valid),
    producer.ready.eq(consumer.ready),
]

Although this example is short, it is already repetitive and redundant. The ports on the producer and the consumer, which must match each other for the connection to be made correctly, are declared twice; and the connection itself is made in an error-prone manual way even though the signatures include all of the information required to create it.

The signature of a stream could be defined in a generic way:

class SimpleStreamSignature(wiring.Signature):
    def __init__(self, data_shape):
        super().__init__({
            "data": Out(data_shape),
            "valid": Out(1),
            "ready": In(1)
        })

    def __eq__(self, other):
        return self.members == other.members

>>> SimpleStreamSignature(8).members
SignatureMembers({'data': Out(8), 'valid': Out(1), 'ready': In(1)})

A definition like this is usable, depending on the data flow direction of the members, only in the producer (as in the code above) or only in the consumer. To resolve this problem, this module introduces flipping: an operation that reverses the data flow direction of the members of a signature or an interface object while leaving everything else about the object intact. In Amaranth, the (non-flipped) signature definition always declares the data flow directions appropriate for a bus initiator, stream source, controller, and so on. A bus target, stream sink, peripheral, and so on would reuse the source definition by flipping it.

A signature is flipped by calling sig.flip(), and an interface object is flipped by calling flipped(intf). These calls return instances of the FlippedSignature and FlippedInterface classes, respectively, which use metaprogramming to wrap another object, changing only the data flow directions of its members and forwarding all other method calls and attribute accesses to the wrapped object.

The example above can be rewritten to use this definition of a stream signature as:

class StreamProducer(wiring.Component):
    en: In(1)
    source: Out(SimpleStreamSignature(8))

    def elaborate(self, platform): ...


class StreamConsumer(wiring.Component):
    sink: Out(SimpleStreamSignature(8).flip())

    def elaborate(self, platform): ...


m = Module()
m.submodules.producer = producer = StreamProducer()
m.submodules.consumer = consumer = StreamConsumer()

The producer and the consumer reuse the same signature, relying on flipping to make the port directions complementary:

>>> producer.source.signature.members
SignatureMembers({'data': Out(8), 'valid': Out(1), 'ready': In(1)})
>>> producer.source.signature.members['data']
Out(8)
>>> consumer.sink.signature.members
SignatureMembers({'data': Out(8), 'valid': Out(1), 'ready': In(1)}).flip()
>>> consumer.sink.signature.members['data']
In(8)

In the StreamConsumer definition above, the sink member has its direction flipped explicitly because the sink is a stream input; this is the case for every interface due to how port directions are defined. Since this operation is so ubiquitous, it is also performed when In(...) is used with a signature rather than a shape. The StreamConsumer definition above should normally be written as:

class StreamConsumerUsingIn(wiring.Component):
    sink: In(SimpleStreamSignature(8))

    def elaborate(self, platform): ...

The data flow directions of the ports are identical between the two definitions:

>>> consumer.sink.signature.members == StreamConsumerUsingIn().sink.signature.members
True

If signatures are nested within each other multiple levels deep, the final port direction is determined by how many nested In(...) members there are. For each In(...) signature wrapping a port, the data flow direction of the port is flipped once:

>>> sig = wiring.Signature({"port": Out(1)})
>>> sig.members["port"]
Out(1)
>>> in1 = wiring.Signature({"sig": In(sig)})
>>> in1.members["sig"].signature.members["port"]
In(1)
>>> in2 = wiring.Signature({"sig": In(in1)})
>>> in2.members["sig"].signature.members["sig"].signature.members["port"]
Out(1)

Going back to the stream example, the producer and the consumer now communicate with one another using the same set of ports with identical shapes and complementary directions (the auxiliary en port being outside of the stream signature), and can be connected using the connect() function:

wiring.connect(m, producer.source, consumer.sink)

This function examines the signatures of the two provided interface objects, ensuring that they are exactly complementary, and then adds combinational .eq() statements to the module for each of the port pairs to form the connection. Aside from the connectability check, the single line above is equivalent to:

m.d.comb += [
    consumer.sink.data.eq(producer.source.data),
    consumer.sink.valid.eq(producer.source.valid),
    producer.source.ready.eq(consumer.sink.ready),
]

Even on the simple example of a stream signature it is clear how using the connect() function results in more concise, readable, and robust code. The difference is proportionally more pronounced with more complex signatures. When a signature is being refactored, no changes to the code that uses connect() is required.

This explanation concludes the essential knowledge necessary for using this module and writing idiomatic Amaranth code.

Forwarding interior interfaces

Consider a case where a component includes another component as a part of its implementation, and where it is necessary to forward the ports of the inner component, that is, expose them within the outer component’s signature. To use the SimpleStreamSignature definition above in an example:

class DataProcessorImplementation(wiring.Component):
    source: Out(SimpleStreamSignature(8))

    def elaborate(self, platform): ...


class DataProcessorWrapper(wiring.Component):
    source: Out(SimpleStreamSignature(8))

    def elaborate(self, platform):
        m = Module()
        m.submodules.impl = impl = DataProcessorImplementation()
        m.d.comb += [
            self.source.data.eq(impl.source.data),
            self.source.valid.eq(impl.source.valid),
            impl.source.ready.eq(self.source.ready),
        ]
        return m

Because forwarding the ports requires assigning an output to an output and an input to an input, the connect() function, which connects outputs to inputs and vice versa, cannot be used—at least not directly. The connect() function is designed to cover the usual case of connecting the interfaces of modules from outside those modules. In order to connect an interface from inside a module, it is necessary to flip that interface first using the flipped() function. The DataProcessorWrapper should instead be implemented as:

class DataProcessorWrapper(wiring.Component):
    source: Out(SimpleStreamSignature(8))

    def elaborate(self, platform):
        m = Module()
        m.submodules.impl = impl = DataProcessorImplementation()
        wiring.connect(m, wiring.flipped(self.source), impl.source)
        return m

In some cases, both of the two interfaces provided to connect() must be flipped. For example, the correct way to implement a component that forwards an input interface to an output interface with no processing is:

class DataForwarder(wiring.Component):
    sink: In(SimpleStreamSignature(8))
    source: Out(SimpleStreamSignature(8))

    def elaborate(self, platform):
        m = Module()
        wiring.connect(m, wiring.flipped(self.sink), wiring.flipped(self.source))
        return m

Warning

It is important to wrap an interface with the flipped() function whenever it is being connected from inside the module. If the elaborate function above had made a connection using wiring.connect(m, self.sink, self.source), it would not work correctly. No diagnostic is emitted in this case.

Constant inputs

Sometimes, a component must conform to a particular signature, but some of the input ports required by the signature must have a fixed value at all times. This module addresses this case by allowing both Signal and Const objects to be used to implement port members:

class ProducerRequiringReady(wiring.Component):
    source: Out(SimpleStreamSignature(8))

    def __init__(self):
        super().__init__()
        self.source.ready = Const(1)

    def elaborate(self, platform): ...


class ConsumerAlwaysReady(wiring.Component):
    sink: In(SimpleStreamSignature(8))

    def __init__(self):
        super().__init__()
        self.sink.ready = Const(1)

    def elaborate(self, platform): ...


class ConsumerPossiblyUnready(wiring.Component):
    sink: In(SimpleStreamSignature(8))

    def elaborate(self, platform): ...

>>> SimpleStreamSignature(8).is_compliant(ProducerRequiringReady().source)
True
>>> SimpleStreamSignature(8).flip().is_compliant(ConsumerAlwaysReady().sink)
True

However, the connect() function considers a constant input to be connectable only to a constant output with the same value:

>>> wiring.connect(m, ProducerRequiringReady().source, ConsumerAlwaysReady().sink)
>>> wiring.connect(m, ProducerRequiringReady().source, ConsumerPossiblyUnready().sink)
Traceback (most recent call last):
  ...
amaranth.lib.wiring.ConnectionError: Cannot connect to the input member 'arg0.ready' that has a constant value 1

This feature reduces the proliferation of similar but subtly incompatible interfaces that are semantically similar, only differing in the presence or absence of optional control or status signals.

Adapting interfaces

Sometimes, a design requires an interface with a particular signature to be used, but the only implementation available is either a component with an incompatible signature or an elaboratable with no signature at all. If this problem cannot be resolved by other means, interface adaptation can be used, where the existing signals are placed into a new interface with the appropriate signature. For example:

class LegacyAXIDataProducer(Elaboratable):
    def __init__(self):
        self.adata = Signal(8)
        self.avalid = Signal()
        self.aready = Signal()

    def elaborate(self, platform): ...


class ModernDataConsumer(wiring.Component):
    sink: In(SimpleStreamSignature(8))


data_producer = LegacyAXIDataProducer()
data_consumer = ModernDataConsumer()

adapted_data_source = SimpleStreamSignature(8).create()
adapted_data_source.data = data_producer.adata
adapted_data_source.valid = data_producer.avalid
adapted_data_source.ready = data_producer.aready

m = Module()
wiring.connect(m, adapted_data_source, data_consumer.sink)

When creating an adapted interface, use the create method of the signature that is required elsewhere in the design.

Customizing signatures and interfaces

The amaranth.lib.wiring module encourages creation of reusable building blocks. In the examples above, a custom signature, SimpleStreamSignature, was introduced to illustrate the essential concepts necessary to use this module. While sufficient for that goal, it does not demonstrate the full capabilities provided by the module.

Consider a simple System-on-Chip memory bus with a configurable address width. In an application like that, additional properties and methods could be usefully defined both on the signature (for example, properties to retrieve the parameters of the interface) and on the created interface object (for example, methods to examine the control and status signals). These can be defined as follows:

from amaranth.lib import enum


class TransferType(enum.Enum, shape=1):
    Write = 0
    Read  = 1


class SimpleBusSignature(wiring.Signature):
    def __init__(self, addr_width=32):
        self._addr_width = addr_width
        super().__init__({
            "en":     Out(1),
            "rw":     Out(TransferType),
            "addr":   Out(self._addr_width),
            "r_data": In(32),
            "w_data": Out(32),
        })

    @property
    def addr_width(self):
        return self._addr_width

    def __eq__(self, other):
        return isinstance(other, SimpleBusSignature) and self.addr_width == other.addr_width

    def __repr__(self):
        return f"SimpleBusSignature({self.addr_width})"

    def create(self, *, path=None, src_loc_at=0):
        return SimpleBusInterface(self, path=path, src_loc_at=1 + src_loc_at)


class SimpleBusInterface(wiring.PureInterface):
    def is_read_xfer(self):
        return self.en & (self.rw == TransferType.Read)

    def is_write_xfer(self):
        return self.en & (self.rw == TransferType.Write)

This example demonstrates several important principles of use:

Defining additional properties for a custom signature. The Signature objects are mutable in a restricted way, and can be frozen with the freeze method. In almost all cases, the newly defined properties must be immutable, as shown above.
Defining a signature-specific __eq__ method. While anonymous (created from a dictionary of members) instances of Signature compare structurally, instances of Signature-derived classes compare by identity unless the equality operator is overridden. In almost all cases, the equality operator should compare the parameters of the signatures rather than their structures.
Defining a signature-specific __repr__ method. Similarly to __eq__, the default implementation for Signature-derived classes uses the signature’s identity. In almost all cases, the representation conversion operator should return an expression that constructs an equivalent signature.
Defining a signature-specific create method. The default implementation used in anonymous signatures, Signature.create(), returns a new instance of PureInterface. Whenever the custom signature has a corresponding custom interface object class, this method should return a new instance of that class. It should not have any required arguments beyond the ones that Signature.create() has (required parameters should be provided when creating the signature and not the interface), but may take additional optional arguments, forwarding them to the interface object constructor.

>>> sig32 = SimpleBusSignature(); sig32
SimpleBusSignature(32)
>>> sig24 = SimpleBusSignature(24); sig24
SimpleBusSignature(24)
>>> sig24.addr_width
24
>>> sig24 == SimpleBusSignature(24)
True
>>> bus = sig24.create(); bus
<SimpleBusInterface: SimpleBusSignature(24), en=(sig bus__en), rw=EnumView(TransferType, (sig bus__rw)), addr=(sig bus__addr), r_data=(sig bus__r_data), w_data=(sig bus__w_data)>
>>> bus.is_read_xfer()
(& (sig bus__en) (== (sig bus__rw) (const 1'd1)))

The custom properties defined for both the signature and the interface object can be used on the flipped signature and the flipped interface in the usual way:

>>> sig32.flip().addr_width
32
>>> wiring.flipped(bus).is_read_xfer()
(& (sig bus__en) (== (sig bus__rw) (const 1'd1)))

Note

Unusually for Python, when the implementation of a property or method is invoked through a flipped object, the self argument receives the flipped object that has the type FlippedSignature or FlippedInterface. This wrapper object proxies all attribute accesses and method calls to the original signature or interface, the only change being that of the data flow directions. See the documentation for these classes for a more detailed explanation.

Warning

While the wrapper object forwards attribute accesses and method calls, it does not currently proxy special methods such as __getitem__ or __add__ that are rarely, if ever, used with interface objects. This limitation may be lifted in the future.

Paths

Whenever an operation in this module needs to refer to the interior of an object, it accepts or produces a path: a tuple of strings and integers denoting the attribute names and indexes through which an interior value can be extracted. For example, the path ("buses", 0, "cyc") into the object obj corresponds to the Python expression obj.buses[0].cyc.

When they appear in diagnostics, paths are printed as the corresponding Python expression.

Signatures

class amaranth.lib.wiring.Flow

Direction of data flow. This enumeration has two values, Out and In, the meaning of which depends on the context in which they are used.

Out

Outgoing data flow.

When included in a standalone Signature, a port Member with an Out data flow carries data from an initiator to a responder. That is, the signature describes the initiator driving the signal and the responder sampling the signal.

When used as the flow of a signature Member, indicates that the data flow of the port members of the inner signature remains the same.

When included in the signature property of an Elaboratable, the signature describes the elaboratable driving the corresponding signal. That is, the elaboratable is treated as the initiator.

In

Incoming data flow.

When included in a standalone Signature, a port Member with an In data flow carries data from an responder to a initiator. That is, the signature describes the initiator sampling the signal and the responder driving the signal.

When used as the flow of a signature Member, indicates that the data flow of the port members of the inner signature is flipped.

When included in the signature property of an Elaboratable, the signature describes the elaboratable sampling the corresponding signal. That is, the elaboratable is treated as the initiator, the same as in the Out case.

flip()

Flip the direction of data flow.

Returns:: In if called as Out.flip(); Out if called as In.flip().
Return type:: Flow

__call__(description, *, init=None, reset=None, src_loc_at=0)

Create a Member with this data flow and the provided description and initial value.

Returns:: Member(self, description, init=init)
Return type:: Member

amaranth.lib.wiring.Out = Flow.Out: A shortcut for importing Flow.Out as amaranth.lib.wiring.Out.

amaranth.lib.wiring.In = Flow.In: A shortcut for importing Flow.In as amaranth.lib.wiring.In.

class amaranth.lib.wiring.Member(flow, description, *, init=None)

Description of a signature member.

This class is a discriminated union: its instances describe either a port member or a signature member, and accessing properties for the wrong kind of member raises an AttributeError.

The class is created from a description: a Signature instance (in which case the Member is created as a signature member), or a shape-like object (in which case it is created as a port member). After creation the Member instance cannot be modified.

When a Signal is created from a description of a port member, the signal’s initial value is taken from the member description. If this signal is never explicitly assigned a value, it will equal init.

Although instances can be created directly, most often they will be created through In and Out, e.g. In(unsigned(1)) or Out(stream.Signature(RGBPixel)).

flip()

Flip the data flow of this member.

Returns:: A new member with member.flow equal to self.flow.flip(), and identical to self other than that.
Return type:: Member

array(*dimensions)

Add array dimensions to this member.

The dimensions passed to this method are prepended to the existing dimensions. For example, Out(1).array(2) describes an array of 2 elements, whereas both Out(1).array(2, 3) and Out(1).array(3).array(2) both describe a two dimensional array of 2 by 3 elements.

Dimensions are passed to array() in the order in which they would be indexed. That is, .array(x, y) creates a member that can be indexed up to [x-1][y-1].

The array() method is composable: calling member.array(x) describes an array of x members even if member was already an array.

Returns:: A new member with member.dimensions extended by dimensions, and identical to self other than that.
Return type:: Member

property flow

Data flow of this member.

Return type:: Flow

property is_port

Whether this is a description of a port member.

Returns:: True if this is a description of a port member, False if this is a description of a signature member.
Return type:: bool

property is_signature

Whether this is a description of a signature member.

Returns:: True if this is a description of a signature member, False if this is a description of a port member.
Return type:: bool

property shape

Shape of a port member.

Returns:: The shape that was provided when constructing this Member.
Return type:: shape-like object
Raises:: AttributeError – If self describes a signature member.

property init

Initial value of a port member.

Returns:: The initial value that was provided when constructing this Member.
Return type:: const-castable object
Raises:: AttributeError – If self describes a signature member.

property signature

Signature of a signature member.

Returns:: The signature that was provided when constructing this Member.
Return type:: Signature
Raises:: AttributeError – If self describes a port member.

property dimensions

Array dimensions.

A member will usually have no dimensions; in this case it does not describe an array. A single dimension describes one-dimensional array, and so on.

Returns:: Dimensions, if any, of this member, from most to least major.
Return type:: tuple of int

exception amaranth.lib.wiring.SignatureError: This exception is raised when an invalid operation specific to signature manipulation is performed with SignatureMembers. Other exceptions, such as TypeError or NameError, will still be raised where appropriate.

class amaranth.lib.wiring.SignatureMembers(members=())

Mapping of signature member names to their descriptions.

This container, a collections.abc.Mapping, is used to implement the members attribute of signature objects.

The keys in this container must be valid Python attribute names that are public (do not begin with an underscore. The values must be instances of Member. The container is immutable.

The create() method converts this mapping into a mapping of names to signature members (signals and interface objects) by creating them from their descriptions. The created mapping can be used to populate an interface object.

flip()

Flip the data flow of the members in this mapping.

Returns:: Proxy collection FlippedSignatureMembers(self) that flips the data flow of the members that are accessed using it.
Return type:: FlippedSignatureMembers

__eq__(other)

Compare the members in this and another mapping.

Returns:: True if the mappings contain the same key-value pairs, False otherwise.
Return type:: bool

__contains__(name)

Check whether a member with a given name exists.

Return type:: bool

__getitem__(name)

Retrieves the description of a member with a given name.

Return type:

Member

Raises:

TypeError – If name is not a string.
NameError – If name is not a valid, public Python attribute name.
SignatureError – If a member called name does not exist in the collection.

__setitem__(name, member)

Stub that forbids addition of members to the collection.

Raises:: SignatureError – Always.

__delitem__(name)

Stub that forbids removal of members from the collection.

Raises:: SignatureError – Always.

__iter__()

Iterate through the names of members in the collection.

Returns:: Names of members, in the order of insertion.
Return type:: iterator of str

flatten(*, path=())

Recursively iterate through this collection.

Note

The paths returned by this method and by Signature.flatten() differ. This method yields a single result for each Member in the collection, disregarding their dimensions:

>>> sig = wiring.Signature({
...     "items": In(1).array(2)
... })
>>> list(sig.members.flatten())
[(('items',), In(1).array(2))]

The Signature.flatten() method yields multiple results for such a member; see the documentation for that method for an example.

Returns:: Pairs of paths and the corresponding members. A path yielded by this method is a tuple of strings where each item is a key through which the item may be reached.
Return type:: iterator of (tuple of str, Member)

create(*, path=None, src_loc_at=0)

Create members from their descriptions.

For each port member, this function creates a Signal with the shape and initial value taken from the member description, and the name constructed from the paths to the member (by concatenating path items with a double underscore, __).

For each signature member, this function calls Signature.create() for that signature. The resulting object can have any type if a Signature subclass overrides the create method.

If the member description includes dimensions, in each case, instead of a single member, a list of members is created for each dimension. (That is, for a single dimension a list of members is returned, for two dimensions a list of lists is returned, and so on.)

Returns:: Mapping of names to actual signature members.
Return type:: dict of str to value-like or interface object or a potentially nested list of these

class amaranth.lib.wiring.FlippedSignatureMembers(unflipped)

Mapping of signature member names to their descriptions, with the directions flipped.

Although an instance of FlippedSignatureMembers could be created directly, it will be usually created by a call to SignatureMembers.flip().

This container is a wrapper around SignatureMembers that contains the same members as the inner mapping, but flips their data flow when they are accessed. For example:

members = wiring.SignatureMembers({"foo": Out(1)})

flipped_members = members.flip()
assert flipped_members["foo"].flow == In

This class implements the same methods, with the same functionality (other than the flipping of the data flow), as the SignatureMembers class; see the documentation for that class for details.

flip()

Flips this mapping back to the original one.

Returns:: unflipped
Return type:: SignatureMembers

class amaranth.lib.wiring.Signature(members)

Description of an interface object.

An interface object is a Python object that has a signature attribute containing a Signature object, as well as an attribute for every member of its signature. Signatures and interface objects are tightly linked: an interface object can be created out of a signature, and the signature is used when connect()ing two interface objects together. See the introduction to interfaces for a more detailed explanation of why this is useful.

Signature can be used as a base class to define customized signatures and interface objects.

Warning

Signature objects are immutable. Classes inheriting from Signature must ensure this remains the case when additional functionality is added.

flip()

Flip the data flow of the members in this signature.

Returns:

Proxy object FlippedSignature(self) that flips the data flow of the attributes corresponding to the members that are accessed using it.

See the documentation for the FlippedSignature class for a detailed discussion of how this proxy object works.

Return type:

FlippedSignature

property members

Members in this signature.

Return type:: SignatureMembers

__eq__(other)

Compare this signature with another.

The behavior of this operator depends on the types of the arguments. If both self and other are instances of the base Signature class, they are compared structurally (the result is self.members == other.members); otherwise they are compared by identity (the result is self is other).

Subclasses of Signature are expected to override this method to take into account the specifics of the domain. If the subclass has additional properties that do not influence the members dictionary but nevertheless make its instance incompatible with other instances (for example, whether the feedback is combinational or registered), the overridden method must take that into account.

Return type:: bool

flatten(obj)

Recursively iterate through this signature, retrieving member values from an interface object.

Note

The paths returned by this method and by SignatureMembers.flatten() differ. This method yield several results for each Member in the collection that has a dimension:

>>> sig = wiring.Signature({
...     "items": In(1).array(2)
... })
>>> obj = sig.create()
>>> list(sig.flatten(obj))
[(('items', 0), In(1), (sig obj__items__0)),
 (('items', 1), In(1), (sig obj__items__1))]

The SignatureMembers.flatten() method yields one result for such a member; see the documentation for that method for an example.

Returns:: Tuples of paths, flow, and the corresponding member values. A path yielded by this method is a tuple of strings or integers where each item is an attribute name or index (correspondingly) using which the member value was retrieved.
Return type:: iterator of (tuple of str or int, Flow, value-like)

is_compliant(obj, *, reasons=None, path=('obj',))

Check whether an object matches the description in this signature.

This module places few restrictions on what an interface object may be; it does not prescribe a specific base class or a specific way of constructing the object, only the values that its attributes should have. This method ensures consistency between the signature and the interface object, checking every aspect of the provided interface object for compliance with the signature.

It verifies that:

obj has a signature attribute whose value a Signature instance such that self == obj.signature;
for each member, obj has an attribute with the same name, whose value:
- for members with dimensions specified, contains a list or a tuple (or several levels of nested lists or tuples, for multiple dimensions) satisfying the requirements below;
- for port members, is a value-like object casting to a Signal or a Const whose width and signedness is the same as that of the member, and (in case of a Signal) which is not reset-less and whose initial value is that of the member;
- for signature members, matches the description in the signature as verified by Signature.is_compliant().

If the verification fails, this method reports the reason(s) by filling the reasons container. These reasons are intended to be human-readable: more than one reason may be reported but only in cases where this is helpful (e.g. the same error message will not repeat 10 times for each of the 10 ports in a list).

Parameters:

reasons (list or None) – If provided, a container that receives diagnostic messages.
path (tuple of str) – The path to obj. Could be set to improve diagnostic messages if obj is nested within another object, or for clarity.

Returns:

True if obj matches the description in this signature, False otherwise. If False and reasons was not None, it will contain a detailed explanation why.

Return type:

bool

create(*, path=None, src_loc_at=0)

Create an interface object from this signature.

The default Signature.create() implementation consists of one line:

def create(self, *, path=None, src_loc_at=0):
    return PureInterface(self, path=path, src_loc_at=1 + src_loc_at)

This implementation creates an interface object from this signature that serves purely as a container for the attributes corresponding to the signature members, and implements no behavior. Such an implementation is sufficient for signatures created ad-hoc using the Signature({ ... }) constructor as well as simple signature subclasses.

When defining a Signature subclass that needs to customize the behavior of the created interface objects, override this method with a similar implementation that references the class of your custom interface object:

class CustomSignature(wiring.Signature):
    def create(self, *, path=None, src_loc_at=0):
        return CustomInterface(self, path=path, src_loc_at=1 + src_loc_at)

class CustomInterface(wiring.PureInterface):
    @property
    def my_property(self):
        ...

The path and src_loc_at arguments are necessary to ensure the generated signals have informative names and accurate source location information.

The custom create() method may take positional or keyword arguments in addition to the two listed above. Such arguments must have a default value, because the SignatureMembers.create() method will call the Signature.create() member without these additional arguments when this signature is a member of another signature.

annotations(obj, /)

Annotate an interface object.

Subclasses of Signature may override this method to provide annotations for a corresponding interface object. The default implementation provides none.

See amaranth.lib.meta for details.

Returns:: tuple()
Return type:: iterable of Annotation

class amaranth.lib.wiring.FlippedSignature(unflipped)

Description of an interface object, with the members’ directions flipped.

Although an instance of FlippedSignature could be created directly, it will be usually created by a call to Signature.flip().

This proxy is a wrapper around Signature that contains the same description as the inner mapping, but flips the members’ data flow when they are accessed. It is useful because Signature objects are mutable and may include custom behavior, and if one was copied (rather than wrapped) by Signature.flip(), the wrong object would be mutated, and custom behavior would be unavailable.

For example:

sig = wiring.Signature({"foo": Out(1)})

flipped_sig = sig.flip()
assert flipped_sig.members["foo"].flow == In

sig.attr = 1
assert flipped_sig.attr == 1
flipped_sig.attr += 1
assert sig.attr == flipped_sig.attr == 2

This class implements the same methods, with the same functionality (other than the flipping of the members’ data flow), as the Signature class; see the documentation for that class for details.

It is not possible to inherit from FlippedSignature and Signature.flip() must not be overridden. If a Signature subclass defines a method and this method is called on a flipped instance of the subclass, it receives the flipped instance as its self argument. To distinguish being called on the flipped instance from being called on the unflipped one, use isinstance(self, FlippedSignature):

class SignatureKnowsWhenFlipped(wiring.Signature):
    @property
    def is_flipped(self):
        return isinstance(self, wiring.FlippedSignature)

sig = SignatureKnowsWhenFlipped({})
assert sig.is_flipped == False
assert sig.flip().is_flipped == True

flip()

Flips this signature back to the original one.

Returns:: unflipped
Return type:: Signature

__getattr__(name)

Retrieves attribute or method name of the unflipped signature.

Performs getattr(unflipped, name), ensuring that, if name refers to a property getter or a method, its self argument receives the flipped signature. A class method’s cls argument receives the class of the unflipped signature, as usual.

__setattr__(name, value)

Assigns attribute name of the unflipped signature to value.

Performs setattr(unflipped, name, value), ensuring that, if name refers to a property setter, its self argument receives the flipped signature.

__delattr__(name)

Removes attribute name of the unflipped signature.

Performs delattr(unflipped, name), ensuring that, if name refers to a property deleter, its self argument receives the flipped signature.

class amaranth.lib.wiring.SignatureMeta

Metaclass for Signature that makes FlippedSignature its ‘virtual subclass’.

The object returned by Signature.flip() is an instance of FlippedSignature. It implements all of the methods Signature has, and for subclasses of Signature, it implements all of the methods defined on the subclass as well. This makes it effectively a subtype of Signature (or a derived class of it), but this relationship is not captured by the Python type system: FlippedSignature only has object as its base class.

This metaclass extends issubclass() and isinstance() so that they take into account the subtyping relationship between Signature and FlippedSignature, described below.

__subclasscheck__(subclass)

Override of issubclass(cls, Signature).

In addition to the standard behavior of issubclass(), this override makes FlippedSignature a subclass of Signature or any of its subclasses.

__instancecheck__(instance)

Override of isinstance(obj, Signature).

In addition to the standard behavior of isinstance(), this override makes isinstance(obj, cls) act as isinstance(obj.flip(), cls) where obj is an instance of FlippedSignature.

Interfaces

class amaranth.lib.wiring.PureInterface(signature, *, path=None, src_loc_at=0)

A helper for constructing ad-hoc interfaces.

The PureInterface helper primarily exists to be used by the default implementation of Signature.create(), but it can also be used in any other context where an interface object needs to be created without the overhead of defining a class for it.

Tip

Any object can be an interface object; it only needs a signature property containing a compliant signature. It is not necessary to use PureInterface in order to create an interface object, but it may be used either directly or as a base class whenever it is convenient to do so.

__init__(signature, *, path=None, src_loc_at=0)

Create attributes from a signature.

The sole method defined by this helper is its constructor, which only defines the self.signature attribute as well as the attributes created from the signature members:

def __init__(self, signature, *, path):
    self.__dict__.update({
        "signature": signature,
        **signature.members.create(path=path)
    })

Note

This implementation can be copied and reused in interface objects that do include custom behavior, if the signature serves as the source of truth for attributes corresponding to its members. Although it is less repetitive, this approach can confuse IDEs and type checkers.

class amaranth.lib.wiring.FlippedInterface(unflipped)

An interface object, with its members’ directions flipped.

An instance of FlippedInterface should only be created by calling flipped(), which ensures that a FlippedInterface(FlippedInterface(...)) object is never created.

This proxy wraps any interface object and forwards attribute and method access to the wrapped interface object while flipping its signature and the values of any attributes corresponding to interface members. It is useful because interface objects may be mutable or include custom behavior, and explicitly keeping track of whether the interface object is flipped would be very burdensome.

For example:

intf = wiring.PureInterface(wiring.Signature({"foo": Out(1)}), path=())

flipped_intf = wiring.flipped(intf)
assert flipped_intf.signature.members["foo"].flow == In

intf.attr = 1
assert flipped_intf.attr == 1
flipped_intf.attr += 1
assert intf.attr == flipped_intf.attr == 2

It is not possible to inherit from FlippedInterface. If an interface object class defines a method or a property and it is called on the flipped interface object, the method receives the flipped interface object as its self argument. To distinguish being called on the flipped interface object from being called on the unflipped one, use isinstance(self, FlippedInterface):

class InterfaceKnowsWhenFlipped:
    signature = wiring.Signature({})

    @property
    def is_flipped(self):
        return isinstance(self, wiring.FlippedInterface)

intf = InterfaceKnowsWhenFlipped()
assert intf.is_flipped == False
assert wiring.flipped(intf).is_flipped == True

property signature

Signature of the flipped interface.

Returns:: unflipped.signature.flip()
Return type:: Signature

__eq__(other)

Compare this flipped interface with another.

Returns:: True if other is an instance FlippedInterface(other_unflipped) where unflipped == other_unflipped, False otherwise.
Return type:: bool

__getattr__(name)

Retrieves attribute or method name of the unflipped interface.

Performs getattr(unflipped, name), with the following caveats:

If name refers to a signature member, the returned interface object is flipped.
If name refers to a property getter or a method, its self argument receives the flipped interface. A class method’s cls argument receives the class of the unflipped interface, as usual.

__setattr__(name, value)

Assigns attribute name of the unflipped interface to value.

Performs setattr(unflipped, name, value), with the following caveats:

If name refers to a signature member, the assigned interface object is flipped.
If name refers to a property setter, its self argument receives the flipped interface.

__delattr__(name)

Removes attribute name of the unflipped interface.

Performs delattr(unflipped, name), ensuring that, if name refers to a property deleter, its self argument receives the flipped interface.

amaranth.lib.wiring.flipped(interface)

Flip the data flow of the members of the interface object interface.

If an interface object is flipped twice, returns the original object: flipped(flipped(interface)) is interface. Otherwise, wraps interface in a FlippedInterface proxy object that flips the directions of its members.

See the documentation for the FlippedInterface class for a detailed discussion of how this proxy object works.

Making connections

exception amaranth.lib.wiring.ConnectionError: Exception raised when the connect() function is requested to perform an impossible, meaningless, or forbidden connection.

amaranth.lib.wiring.connect(m, *args, **kwargs)

Connect interface objects to each other.

This function creates connections between ports of several interface objects. (Any number of interface objects may be provided; in most cases it is two.)

The connections can be made only if all of the objects satisfy a number of requirements:

Every interface object must have the same set of port members, and they must have the same dimensions.
For each path, the port members of every interface object must have the same width and initial value (for port members corresponding to signals) or constant value (for port members corresponding to constants). Signedness may differ.
For each path, at most one interface object must have the corresponding port member be an output.
For a given path, if any of the interface objects has an input port member corresponding to a constant value, then the rest of the interface objects must have output port members corresponding to the same constant value.
When connecting multiple interface objects, at least one connection must be made.

For example, if obj1 is being connected to obj2 and obj3, and obj1.a.b is an output, then obj2.a.b and obj2.a.b must exist and be inputs. If obj2.c is an input and its value is Const(1), then obj1.c and obj3.c must be outputs whose value is also Const(1). If no ports besides obj1.a.b and obj1.c exist, then no ports except for those two must exist on obj2 and obj3 either.

Once it is determined that the interface objects can be connected, this function performs an equivalent of:

m.d.comb += [
    in1.eq(out1),
    in2.eq(out1),
    ...
]

Where out1 is an output and in1, in2, … are the inputs that have the same path. (If no interface object has an output for a given path, no connection at all is made.)

The positions (within args) or names (within kwargs) of the arguments do not affect the connections that are made. There is no difference in behavior between connect(m, a, b) and connect(m, b, a) or connect(m, arbiter=a, decoder=b). The names of the keyword arguments serve only a documentation purpose: they clarify the diagnostic messages when a connection cannot be made.

Components

class amaranth.lib.wiring.Component(*args, src_loc_at=0, **kwargs)

Base class for elaboratable interface objects.

A component is an Elaboratable whose interaction with other parts of the design is defined by its signature. Most if not all elaboratables in idiomatic Amaranth code should be components, as the signature clarifies the direction of data flow at their boundary. See the introduction to interfaces section for a practical guide to defining and using components.

There are two ways to define a component. If all instances of a component have the same signature, it can be defined using variable annotations:

class FixedComponent(wiring.Component):
    en: In(1)
    data: Out(8)

The variable annotations are collected by the constructor Component.__init__(). Only public (not starting with _) annotations with In or Out objects are considered; all other annotations are ignored under the assumption that they are interpreted by some other tool.

It is possible to use inheritance to extend a component: the component’s signature is composed from the variable annotations in the class that is being constructed as well as all of its base classes. It is an error to have more than one variable annotation for the same attribute.

If different instances of a component may need to have different signatures, variable annotations cannot be used. In this case, the constructor should be overridden, and the computed signature members should be provided to the superclass constructor:

class ParametricComponent(wiring.Component):
    def __init__(self, data_width):
        super().__init__({
            "en": In(1),
            "data": Out(data_width)
        })

It is also possible to pass a Signature instance to the superclass constructor.

Aside from initializing the signature attribute, the Component.__init__() constructor creates attributes corresponding to all of the members defined in the signature. If an attribute with the same name as that of a member already exists, an error is raied.

Raises:

TypeError – If the signature object is neither a Signature nor a dict. If neither variable annotations nor the signature argument are present, or if both are present.
NameError – If a name conflict is detected between two variable annotations, or between a member and an existing attribute.

property signature: Signature of the component.

Warning

Do not override this property. Once a component is constructed, its signature property must always return the same Signature instance. The constructor can be used to customize a component’s signature.

property metadata

Metadata attached to the component.

Return type:: ComponentMetadata

Component metadata

exception amaranth.lib.wiring.InvalidMetadata: Exception raised by ComponentMetadata.validate() when the JSON representation of a component’s metadata does not conform to its schema.

class amaranth.lib.wiring.ComponentMetadata(origin)

Component metadata.

Component metadata describes the interface of a Component and can be exported to JSON for interoperability with non-Amaranth tooling.

Parameters:: origin (Component) – Component described by this metadata instance.

schema = { "$id": "https://amaranth-lang.org/schema/amaranth/0.5/component.json", ... }

Schema of component metadata, expressed in the JSON Schema language.

A copy of this schema can be retrieved from amaranth-lang.org.

Type:: dict

property origin

Component described by this metadata.

Return type:: Component

classmethod validate(instance)

Validate a JSON representation of component metadata against schema.

This method does not validate annotations of the interface members, and consequently does not make network requests.

Parameters:: instance (dict) – JSON representation to validate, either previously returned by as_json() or retrieved from an external source.
Raises:: InvalidMetadata – If instance doesn’t conform to schema.

as_json()

Translate to JSON.

Returns:: JSON representation of origin that describes its interface members and includes their annotations.
Return type:: dict