return any(field_annotation_is_complex(arg) for arg in get_args(annotation))

    return (
        _annotation_is_complex(annotation)
        or _annotation_is_complex(origin)
        or hasattr(origin, "__pydantic_core_schema__")
        or hasattr(origin, "__get_pydantic_core_schema__")
    )


def field_annotation_is_scalar(annotation: Any) -> bool:

    class Foo(BaseModel):
        model_config = ConfigDict(from_attributes=True)

    foo = Foo()
    config = _get_model_config(foo)
    assert config == {"from_attributes": True}


def test_complex():
    app = FastAPI()

    @app.post("/")
    def foo(foo: Union[str, List[int]]):
        return foo

    client = TestClient(app)

    response = client.post("/", json="bar")

	"ushort":        "unsigned short",
	"uint":          "unsigned int",
	"ulong":         "unsigned long",
	"longlong":      "long long",
	"ulonglong":     "unsigned long long",
	"complexfloat":  "float _Complex",
	"complexdouble": "double _Complex",
}

var incomplete = "_cgopackage.Incomplete"

// cname returns the C name to use for C.s.
// The expansions are listed in nameToC and also
// struct_foo becomes "struct foo", and similarly for

# its own file.

on:
  - pr_created
  - commit
  - comment_added

automations:

  # If a PR is very complex, require 2 approvals
  complex_changes:
    if:
      - {{ ('complex_changes' | isEnabledAutomation(pr)) }}
      - {{ branch | estimatedReviewTime >= 40 }}
      - {{ files | length >= 35 }}
      - {{ includes_src_changes }}
    run:

  EXPECT_EQ(TF_STRING, static_cast<TF_DataType>(tensorflow::DT_STRING));
  EXPECT_EQ(TF_COMPLEX64, static_cast<TF_DataType>(tensorflow::DT_COMPLEX64));
  EXPECT_EQ(TF_COMPLEX, TF_COMPLEX64);
  EXPECT_EQ(TF_INT64, static_cast<TF_DataType>(tensorflow::DT_INT64));
  EXPECT_EQ(TF_BOOL, static_cast<TF_DataType>(tensorflow::DT_BOOL));
  EXPECT_EQ(TF_QINT8, static_cast<TF_DataType>(tensorflow::DT_QINT8));

        ActualTypeAliasWithUseSiteVarianceImpl(
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.ACTUAL_TYPE_ALIAS_WITH_COMPLEX_SUBSTITUTION) { firDiagnostic ->
        ActualTypeAliasWithComplexSubstitutionImpl(
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }

func new(Type) *Type

// The complex built-in function constructs a complex value from two
// floating-point values. The real and imaginary parts must be of the same
// size, either float32 or float64 (or assignable to them), and the return
// value will be the corresponding complex type (complex64 for float32,
// complex128 for float64).
func complex(r, i FloatType) ComplexType

It is quite an extensive specification and covers several complex use cases.

It includes ways to authenticate using a "third party".

That's what all the systems with "login with Facebook, Google, Twitter, GitHub" use underneath.

### OAuth 1

There was an OAuth 1, which is very different from OAuth2, and more complex, as it included direct specifications on how to encrypt the communication.

# Updating charts and values.yaml

## Acceptable Pull Requests

Helm charts `values.yaml` represent a complex user facing API that tends to grow uncontrollably over time
due to design choices in Helm.
The underlying Kubernetes resources we configure have 1000s of fields; given enough users and bespoke use cases,
eventually someone will want to customize every one of those fields.

    String SELF_COMBINATION_MERGE = "merge";

    String SELF_COMBINATION_REMOVE = "remove";

    /**
     * In case of complex XML structures, combining can be done based on id.
     */
    String ID_COMBINATION_MODE_ATTRIBUTE = "combine.id";

    /**
     * In case of complex XML structures, combining can be done based on keys.
     * This is a comma separated list of attribute names.
     */