19529437518

Committed 20 Nov 2025 07:44AM UTC coverage: 78.884% (-1.4%) from 80.302%

Build # 19529437518

Build Type

push

github

Committed by

web-flow

Commit Message

nfpm.native_libs: Add RPM package depends from packaged pex_binaries (#22899)

## PR Series Overview

This is the second in a series of PRs that introduces a new backend:
`pants.backend.npm.native_libs`
Initially, the backend will be available as:
`pants.backend.experimental.nfpm.native_libs`

I proposed this new backend (originally named `bindeps`) in discussion
#22396.

This backend will inspect ELF bin/lib files (like `lib*.so`) in packaged
contents (for this PR series, only in `pex_binary` targets) to identify
package dependency metadata and inject that metadata on the relevant
`nfpm_deb_package` or `nfpm_rpm_package` targets. Effectively, it will
provide an approximation of these native packager features:
- `rpm`: `rpmdeps` + `elfdeps`
- `deb`: `dh_shlibdeps` + `dpkg-shlibdeps` (These substitute
`${shlibs:Depends}` in debian control files have)

### Goal: Host-agnostic package builds

This pants backend is designed to be host-agnostic, like
[nFPM](https://nfpm.goreleaser.com/).

Native packaging tools are often restricted to a single release of a
single distro. Unlike native package builders, this new pants backend
does not use any of those distro-specific or distro-release-specific
utilities or local package databases. This new backend should be able to
run (help with building deb and rpm packages) anywhere that pants can
run (MacOS, rpm linux distros, deb linux distros, other linux distros,
docker, ...).

### Previous PRs in series

- #22873

## PR Overview

This PR adds rules in `nfpm.native_libs` to add package dependency
metadata to `nfpm_rpm_package`. The 2 new rules are:

- `inject_native_libs_dependencies_in_package_fields`:

    - An implementation of the polymorphic rule `inject_nfpm_package_fields`.
      This rule is low priority (`priority = 2`) so that in-repo plugins can
      override/augment what it injects. (See #22864)

    - Rule logic overview:
        - find any pex_binaries that will be packaged in an `nfpm_rpm_package`
   ... (continued)

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80.7

/src/python/pants/engine/internals/selectors.py

# Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).

from __future__ import annotations

import ast
import itertools
from collections.abc import Coroutine, Generator, Iterable, Sequence
from dataclasses import dataclass
from typing import TYPE_CHECKING, Any, Generic, TypeVar, cast, overload

from pants.engine.internals.native_engine import PyGeneratorResponseCall, PyGeneratorResponseGet
from pants.util.strutil import softwrap

_Output = TypeVar("_Output")
_Input = TypeVar("_Input")


class GetParseError(ValueError):
    def __init__(
        self, explanation: str, *, get_args: Sequence[ast.expr], source_file_name: str
    ) -> None:
        def render_arg(expr: ast.expr) -> str:
            if isinstance(expr, ast.Name):
                return expr.id
            if isinstance(expr, ast.Call):
                # Check if it's a top-level function call.
                if hasattr(expr.func, "id"):
                    return f"{expr.func.id}()"
                # Check if it's a method call.
                if hasattr(expr.func, "attr") and hasattr(expr.func, "value"):
                    return f"{expr.func.value.id}.{expr.func.attr}()"

            # Fall back to the name of the ast node's class.
            return str(type(expr))

        rendered_args = ", ".join(render_arg(arg) for arg in get_args)
        # TODO: Add the line numbers for the `Get`. The number for `get_args[0].lineno` are
        #  off because they're relative to the wrapping rule.
        super().__init__(
            f"Invalid Get. {explanation} Failed for Get({rendered_args}) in {source_file_name}."
        )


@dataclass(frozen=True)
class AwaitableConstraints:
    # If this is a call-by-name, then we will already know the callable `@rule` that will be used.
    rule_id: str | None
    output_type: type
    # The number of explicit positional arguments passed to a call-by-name awaitable.
    explicit_args_arity: int
    input_types: tuple[type, ...]
    is_effect: bool

    def __repr__(self) -> str:
        if self.rule_id:
            inputs = ", ".join(f"{t.__name__}" for t in self.input_types)
            return f"{self.rule_id}({inputs}) -> {self.output_type.__name__}"
        else:
            name = "Effect" if self.is_effect else "Get"
            if len(self.input_types) == 0:
                inputs = ""
            elif len(self.input_types) == 1:
                inputs = f", {self.input_types[0].__name__}, .."
            else:
                input_items = ", ".join(f"{t.__name__}: .." for t in self.input_types)
                inputs = f", {{{input_items}}}"
            return f"{name}({self.output_type.__name__}{inputs})"

    def __str__(self) -> str:
        return repr(self)


class Call(PyGeneratorResponseCall):
    def __await__(
        self,
    ) -> Generator[Any, None, Any]:
        result = yield self
        return result

    def __repr__(self) -> str:
        return f"Call({self.rule_id}(...) -> {self.output_type.__name__})"


# TODO: Conditional needed until Python 3.8 allows the subscripted type to be used directly.
# see https://mypy.readthedocs.io/en/stable/runtime_troubles.html#using-classes-that-are-generic-in-stubs-but-not-at-runtime
if TYPE_CHECKING:

    class _BasePyGeneratorResponseGet(PyGeneratorResponseGet[_Output]):
        pass

else:

    class _BasePyGeneratorResponseGet(Generic[_Output], PyGeneratorResponseGet):
        pass


class Awaitable(Generic[_Output], _BasePyGeneratorResponseGet[_Output]):
    def __await__(
        self,
    ) -> Generator[Awaitable[_Output], None, _Output]:
        """Allow a Get to be `await`ed within an `async` method, returning a strongly-typed result.

        The `yield`ed value `self` is interpreted by the engine within
        `generator_send()`. This class will yield a single Get instance, which is
        a subclass of `PyGeneratorResponseGet`.

        This is how this method is eventually called:
        - When the engine calls an `async def` method decorated with `@rule`, an instance of
          `types.CoroutineType` is created.
        - The engine will call `.send(None)` on the coroutine, which will either:
          - raise StopIteration with a value (if the coroutine `return`s), or
          - return a `Get` instance to the engine (if the rule instead called `await Get(...)`).
        - The engine will fulfill the `Get` request to produce `x`, then call `.send(x)` and repeat the
          above until StopIteration.

        See more information about implementing this method at
        https://www.python.org/dev/peps/pep-0492/#await-expression.
        """
        result = yield self
        return cast(_Output, result)


class Effect(Generic[_Output], Awaitable[_Output]):
    """Asynchronous generator API for types which are SideEffecting.

    Unlike `Get`s, `Effect`s can cause side effects (writing files to the workspace, publishing
    things, printing to the console), and so they may only be used in `@goal_rule`s.

    See Get for more information on supported syntaxes.
    """


class Get(Generic[_Output], Awaitable[_Output]):
    """Asynchronous generator API for side-effect-free types.

    A Get can be constructed in 4 ways:

    + No arguments:
        Get(<OutputType>)

    + Long form:
        Get(<OutputType>, <InputType>, input)

    + Short form
        Get(<OutputType>, <InputType>(<constructor args for input>))

    + Dict form
        Get(<OutputType>, {input1: <Input1Type>, ..inputN: <InputNType>})

    The long form supports providing type information to the rule engine that it could not otherwise
    infer from the input variable [1]. Likewise, the short form must use inline construction of the
    input in order to convey the input type to the engine. The dict form supports providing >1
    inputs to the engine for the Get request.

    [1] The engine needs to determine all rule and Get input and output types statically before
    executing any rules. Since Gets are declared inside function bodies, the only way to extract this
    information is through a parse of the rule function. The parse analysis is rudimentary and cannot
    infer more than names and calls; so a variable name does not give enough information to infer its
    type, only a constructor call unambiguously gives this information without more in-depth parsing
    that includes following imports and more.
    """


@dataclass(frozen=True)
class _MultiGet:
    gets: tuple[Get | Coroutine, ...]

    def __await__(self) -> Generator[tuple[Get | Coroutine, ...], None, tuple]:
        result = yield self.gets
        return cast(tuple, result)


# These type variables are used to parametrize from 1 to 10 Gets when used in a tuple-style
# MultiGet call.

_Out0 = TypeVar("_Out0")
_Out1 = TypeVar("_Out1")
_Out2 = TypeVar("_Out2")
_Out3 = TypeVar("_Out3")
_Out4 = TypeVar("_Out4")
_Out5 = TypeVar("_Out5")
_Out6 = TypeVar("_Out6")
_Out7 = TypeVar("_Out7")
_Out8 = TypeVar("_Out8")
_Out9 = TypeVar("_Out9")


@overload
async def MultiGet(
    __gets: Iterable[Get[_Output] | Coroutine[Any, Any, _Output]],
) -> tuple[_Output, ...]: ...


@overload
async def MultiGet(
    __get0: Get[_Output] | Coroutine[Any, Any, _Output],
    __get1: Get[_Output] | Coroutine[Any, Any, _Output],
    __get2: Get[_Output] | Coroutine[Any, Any, _Output],
    __get3: Get[_Output] | Coroutine[Any, Any, _Output],
    __get4: Get[_Output] | Coroutine[Any, Any, _Output],
    __get5: Get[_Output] | Coroutine[Any, Any, _Output],
    __get6: Get[_Output] | Coroutine[Any, Any, _Output],
    __get7: Get[_Output] | Coroutine[Any, Any, _Output],
    __get8: Get[_Output] | Coroutine[Any, Any, _Output],
    __get9: Get[_Output] | Coroutine[Any, Any, _Output],
    __get10: Get[_Output] | Coroutine[Any, Any, _Output],
    *__gets: Get[_Output] | Coroutine[Any, Any, _Output],
) -> tuple[_Output, ...]: ...


@overload
async def MultiGet(
    __get0: Get[_Out0] | Coroutine[Any, Any, _Out0],
    __get1: Get[_Out1] | Coroutine[Any, Any, _Out1],
    __get2: Get[_Out2] | Coroutine[Any, Any, _Out2],
    __get3: Get[_Out3] | Coroutine[Any, Any, _Out3],
    __get4: Get[_Out4] | Coroutine[Any, Any, _Out4],
    __get5: Get[_Out5] | Coroutine[Any, Any, _Out5],
    __get6: Get[_Out6] | Coroutine[Any, Any, _Out6],
    __get7: Get[_Out7] | Coroutine[Any, Any, _Out7],
    __get8: Get[_Out8] | Coroutine[Any, Any, _Out8],
    __get9: Get[_Out9] | Coroutine[Any, Any, _Out9],
) -> tuple[_Out0, _Out1, _Out2, _Out3, _Out4, _Out5, _Out6, _Out7, _Out8, _Out9]: ...


@overload
async def MultiGet(
    __get0: Get[_Out0] | Coroutine[Any, Any, _Out0],
    __get1: Get[_Out1] | Coroutine[Any, Any, _Out1],
    __get2: Get[_Out2] | Coroutine[Any, Any, _Out2],
    __get3: Get[_Out3] | Coroutine[Any, Any, _Out3],
    __get4: Get[_Out4] | Coroutine[Any, Any, _Out4],
    __get5: Get[_Out5] | Coroutine[Any, Any, _Out5],
    __get6: Get[_Out6] | Coroutine[Any, Any, _Out6],
    __get7: Get[_Out7] | Coroutine[Any, Any, _Out7],
    __get8: Get[_Out8] | Coroutine[Any, Any, _Out8],
) -> tuple[_Out0, _Out1, _Out2, _Out3, _Out4, _Out5, _Out6, _Out7, _Out8]: ...


@overload
async def MultiGet(
    __get0: Get[_Out0] | Coroutine[Any, Any, _Out0],
    __get1: Get[_Out1] | Coroutine[Any, Any, _Out1],
    __get2: Get[_Out2] | Coroutine[Any, Any, _Out2],
    __get3: Get[_Out3] | Coroutine[Any, Any, _Out3],
    __get4: Get[_Out4] | Coroutine[Any, Any, _Out4],
    __get5: Get[_Out5] | Coroutine[Any, Any, _Out5],
    __get6: Get[_Out6] | Coroutine[Any, Any, _Out6],
    __get7: Get[_Out7] | Coroutine[Any, Any, _Out7],
) -> tuple[_Out0, _Out1, _Out2, _Out3, _Out4, _Out5, _Out6, _Out7]: ...


@overload
async def MultiGet(
    __get0: Get[_Out0] | Coroutine[Any, Any, _Out0],
    __get1: Get[_Out1] | Coroutine[Any, Any, _Out1],
    __get2: Get[_Out2] | Coroutine[Any, Any, _Out2],
    __get3: Get[_Out3] | Coroutine[Any, Any, _Out3],
    __get4: Get[_Out4] | Coroutine[Any, Any, _Out4],
    __get5: Get[_Out5] | Coroutine[Any, Any, _Out5],
    __get6: Get[_Out6] | Coroutine[Any, Any, _Out6],
) -> tuple[_Out0, _Out1, _Out2, _Out3, _Out4, _Out5, _Out6]: ...


@overload
async def MultiGet(
    __get0: Get[_Out0] | Coroutine[Any, Any, _Out0],
    __get1: Get[_Out1] | Coroutine[Any, Any, _Out1],
    __get2: Get[_Out2] | Coroutine[Any, Any, _Out2],
    __get3: Get[_Out3] | Coroutine[Any, Any, _Out3],
    __get4: Get[_Out4] | Coroutine[Any, Any, _Out4],
    __get5: Get[_Out5] | Coroutine[Any, Any, _Out5],
) -> tuple[_Out0, _Out1, _Out2, _Out3, _Out4, _Out5]: ...


@overload
async def MultiGet(
    __get0: Get[_Out0] | Coroutine[Any, Any, _Out0],
    __get1: Get[_Out1] | Coroutine[Any, Any, _Out1],
    __get2: Get[_Out2] | Coroutine[Any, Any, _Out2],
    __get3: Get[_Out3] | Coroutine[Any, Any, _Out3],
    __get4: Get[_Out4] | Coroutine[Any, Any, _Out4],
) -> tuple[_Out0, _Out1, _Out2, _Out3, _Out4]: ...


@overload
async def MultiGet(
    __get0: Get[_Out0] | Coroutine[Any, Any, _Out0],
    __get1: Get[_Out1] | Coroutine[Any, Any, _Out1],
    __get2: Get[_Out2] | Coroutine[Any, Any, _Out2],
    __get3: Get[_Out3] | Coroutine[Any, Any, _Out3],
) -> tuple[_Out0, _Out1, _Out2, _Out3]: ...


@overload
async def MultiGet(
    __get0: Get[_Out0] | Coroutine[Any, Any, _Out0],
    __get1: Get[_Out1] | Coroutine[Any, Any, _Out1],
    __get2: Get[_Out2] | Coroutine[Any, Any, _Out2],
) -> tuple[_Out0, _Out1, _Out2]: ...


@overload
async def MultiGet(
    __get0: Get[_Out0] | Coroutine[Any, Any, _Out0],
    __get1: Get[_Out1] | Coroutine[Any, Any, _Out1],
) -> tuple[_Out0, _Out1]: ...


async def MultiGet(
    __arg0: (
        Iterable[Get[_Output] | Coroutine[Any, Any, _Output]]
        | Get[_Out0]
        | Coroutine[Any, Any, _Out0]
    ),
    __arg1: Get[_Out1] | Coroutine[Any, Any, _Out1] | None = None,
    __arg2: Get[_Out2] | Coroutine[Any, Any, _Out2] | None = None,
    __arg3: Get[_Out3] | Coroutine[Any, Any, _Out3] | None = None,
    __arg4: Get[_Out4] | Coroutine[Any, Any, _Out4] | None = None,
    __arg5: Get[_Out5] | Coroutine[Any, Any, _Out5] | None = None,
    __arg6: Get[_Out6] | Coroutine[Any, Any, _Out6] | None = None,
    __arg7: Get[_Out7] | Coroutine[Any, Any, _Out7] | None = None,
    __arg8: Get[_Out8] | Coroutine[Any, Any, _Out8] | None = None,
    __arg9: Get[_Out9] | Coroutine[Any, Any, _Out9] | None = None,
    *__args: Get[_Output] | Coroutine[Any, Any, _Output],
) -> (
    tuple[_Output, ...]
    | tuple[_Out0, _Out1, _Out2, _Out3, _Out4, _Out5, _Out6, _Out7, _Out8, _Out9]
    | tuple[_Out0, _Out1, _Out2, _Out3, _Out4, _Out5, _Out6, _Out7, _Out8]
    | tuple[_Out0, _Out1, _Out2, _Out3, _Out4, _Out5, _Out6, _Out7]
    | tuple[_Out0, _Out1, _Out2, _Out3, _Out4, _Out5, _Out6]
    | tuple[_Out0, _Out1, _Out2, _Out3, _Out4, _Out5]
    | tuple[_Out0, _Out1, _Out2, _Out3, _Out4]
    | tuple[_Out0, _Out1, _Out2, _Out3]
    | tuple[_Out0, _Out1, _Out2]
    | tuple[_Out0, _Out1]
    | tuple[_Out0]
):
    """Yield a tuple of Get instances all at once.

    The `yield`ed value `self.gets` is interpreted by the engine within
    `generator_send()`. This class will yield a tuple of Get instances,
    which is converted into `PyGeneratorResponse::GetMulti`.

    The engine will fulfill these Get instances in parallel, and return a tuple of _Output
    instances to this method, which then returns this tuple to the `@rule` which called
    `await MultiGet(Get(_Output, ...) for ... in ...)`.
    """
    if (
        isinstance(__arg0, Iterable)
        and __arg1 is None
        and __arg2 is None
        and __arg3 is None
        and __arg4 is None
        and __arg5 is None
        and __arg6 is None
        and __arg7 is None
        and __arg8 is None
        and __arg9 is None
        and not __args
    ):
        return await _MultiGet(tuple(__arg0))

    if (
        isinstance(__arg0, (Get, Coroutine))
        and __arg1 is None
        and __arg2 is None
        and __arg3 is None
        and __arg4 is None
        and __arg5 is None
        and __arg6 is None
        and __arg7 is None
        and __arg8 is None
        and __arg9 is None
        and not __args
    ):
        return await _MultiGet((__arg0,))

    if (
        isinstance(__arg0, (Get, Coroutine))
        and isinstance(__arg1, (Get, Coroutine))
        and __arg2 is None
        and __arg3 is None
        and __arg4 is None
        and __arg5 is None
        and __arg6 is None
        and __arg7 is None
        and __arg8 is None
        and __arg9 is None
        and not __args
    ):
        return await _MultiGet((__arg0, __arg1))

    if (
        isinstance(__arg0, (Get, Coroutine))
        and isinstance(__arg1, (Get, Coroutine))
        and isinstance(__arg2, (Get, Coroutine))
        and __arg3 is None
        and __arg4 is None
        and __arg5 is None
        and __arg6 is None
        and __arg7 is None
        and __arg8 is None
        and __arg9 is None
        and not __args
    ):
        return await _MultiGet((__arg0, __arg1, __arg2))

    if (
        isinstance(__arg0, (Get, Coroutine))
        and isinstance(__arg1, (Get, Coroutine))
        and isinstance(__arg2, (Get, Coroutine))
        and isinstance(__arg3, (Get, Coroutine))
        and __arg4 is None
        and __arg5 is None
        and __arg6 is None
        and __arg7 is None
        and __arg8 is None
        and __arg9 is None
        and not __args
    ):
        return await _MultiGet((__arg0, __arg1, __arg2, __arg3))

    if (
        isinstance(__arg0, (Get, Coroutine))
        and isinstance(__arg1, (Get, Coroutine))
        and isinstance(__arg2, (Get, Coroutine))
        and isinstance(__arg3, (Get, Coroutine))
        and isinstance(__arg4, (Get, Coroutine))
        and __arg5 is None
        and __arg6 is None
        and __arg7 is None
        and __arg8 is None
        and __arg9 is None
        and not __args
    ):
        return await _MultiGet((__arg0, __arg1, __arg2, __arg3, __arg4))

    if (
        isinstance(__arg0, (Get, Coroutine))
        and isinstance(__arg1, (Get, Coroutine))
        and isinstance(__arg2, (Get, Coroutine))
        and isinstance(__arg3, (Get, Coroutine))
        and isinstance(__arg4, (Get, Coroutine))
        and isinstance(__arg5, (Get, Coroutine))
        and __arg6 is None
        and __arg7 is None
        and __arg8 is None
        and __arg9 is None
        and not __args
    ):
        return await _MultiGet((__arg0, __arg1, __arg2, __arg3, __arg4, __arg5))

    if (
        isinstance(__arg0, (Get, Coroutine))
        and isinstance(__arg1, (Get, Coroutine))
        and isinstance(__arg2, (Get, Coroutine))
        and isinstance(__arg3, (Get, Coroutine))
        and isinstance(__arg4, (Get, Coroutine))
        and isinstance(__arg5, (Get, Coroutine))
        and isinstance(__arg6, (Get, Coroutine))
        and __arg7 is None
        and __arg8 is None
        and __arg9 is None
        and not __args
    ):
        return await _MultiGet((__arg0, __arg1, __arg2, __arg3, __arg4, __arg5, __arg6))

    if (
        isinstance(__arg0, (Get, Coroutine))
        and isinstance(__arg1, (Get, Coroutine))
        and isinstance(__arg2, (Get, Coroutine))
        and isinstance(__arg3, (Get, Coroutine))
        and isinstance(__arg4, (Get, Coroutine))
        and isinstance(__arg5, (Get, Coroutine))
        and isinstance(__arg6, (Get, Coroutine))
        and isinstance(__arg7, (Get, Coroutine))
        and __arg8 is None
        and __arg9 is None
        and not __args
    ):
        return await _MultiGet((__arg0, __arg1, __arg2, __arg3, __arg4, __arg5, __arg6, __arg7))

    if (
        isinstance(__arg0, (Get, Coroutine))
        and isinstance(__arg1, (Get, Coroutine))
        and isinstance(__arg2, (Get, Coroutine))
        and isinstance(__arg3, (Get, Coroutine))
        and isinstance(__arg4, (Get, Coroutine))
        and isinstance(__arg5, (Get, Coroutine))
        and isinstance(__arg6, (Get, Coroutine))
        and isinstance(__arg7, (Get, Coroutine))
        and isinstance(__arg8, (Get, Coroutine))
        and __arg9 is None
        and not __args
    ):
        return await _MultiGet(
            (__arg0, __arg1, __arg2, __arg3, __arg4, __arg5, __arg6, __arg7, __arg8)
        )

    if (
        isinstance(__arg0, (Get, Coroutine))
        and isinstance(__arg1, (Get, Coroutine))
        and isinstance(__arg2, (Get, Coroutine))
        and isinstance(__arg3, (Get, Coroutine))
        and isinstance(__arg4, (Get, Coroutine))
        and isinstance(__arg5, (Get, Coroutine))
        and isinstance(__arg6, (Get, Coroutine))
        and isinstance(__arg7, (Get, Coroutine))
        and isinstance(__arg8, (Get, Coroutine))
        and isinstance(__arg9, (Get, Coroutine))
        and all(isinstance(arg, Get) for arg in __args)
    ):
        return await _MultiGet(
            (
                __arg0,
                __arg1,
                __arg2,
                __arg3,
                __arg4,
                __arg5,
                __arg6,
                __arg7,
                __arg8,
                __arg9,
                *__args,
            )
        )

    args = __arg0, __arg1, __arg2, __arg3, __arg4, __arg5, __arg6, __arg7, __arg8, __arg9, *__args

    def render_arg(arg: Any) -> str | None:
        if arg is None:
            return None
        if isinstance(arg, Get):
            return repr(arg)
        return repr(arg)

    likely_args_explicitly_passed = tuple(
        reversed(
            [
                render_arg(arg)
                for arg in itertools.dropwhile(lambda arg: arg is None, reversed(args))
            ]
        )
    )
    if any(arg is None for arg in likely_args_explicitly_passed):
        raise ValueError(
            softwrap(
                f"""
                Unexpected concurrently() None arguments: {
                    ", ".join(map(str, likely_args_explicitly_passed))
                }

                When calling concurrently() on individual rule calls, all leading arguments must be
                awaitables.
                """
            )
        )

    raise TypeError(
        softwrap(
            f"""
            Unexpected concurrently() argument types: {", ".join(map(str, likely_args_explicitly_passed))}

            `concurrently` can be used in two ways:
              1. concurrently(Iterable[awaitable[T]]) -> Tuple[T]
              2. concurrently(awaitable[T1]], ...) -> Tuple[T1, T2, ...]

            The 1st form is intended for homogenous collections of rule calls and emulates an
            async `for ...` comprehension used to iterate over the collection in parallel and
            collect the results in a homogenous tuple when all are complete.

            The 2nd form supports executing heterogeneous rule calls in parallel and collecting
            them in a heterogeneous tuple when all are complete. Currently up to 10 heterogeneous
            rule calls can be passed while still tracking their output types for type-checking by
            MyPy and similar type checkers. If more than 10 rule calls are passed, type checking
            will enforce that they are homogeneous.
            """
        )
    )


# Alias for `MultiGet` to new syntax name `concurrently`, while remaining backwards compatible.
concurrently = MultiGet


@dataclass(frozen=True)
class Params:
    """A set of values with distinct types.

    Distinct types are enforced at consumption time by the rust type of the same name.
    """

    params: tuple[Any, ...]

    def __init__(self, *args: Any) -> None:
        object.__setattr__(self, "params", tuple(args))

pantsbuild / pants / 19529437518

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