from typing import Annotated, Any, Callable, Optional, Union

from annotated_doc import Doc
from fastapi import params
from fastapi._compat import Undefined
from fastapi.openapi.models import Example
from pydantic import AliasChoices, AliasPath
from typing_extensions import Literal, deprecated

_Unset: Any = Undefined


def Path(  # noqa: N802
    default: Annotated[
        Any,
        Doc(
            """

# On Windows, `__cplusplus` is wrongly defined without this switch
# See https://devblogs.microsoft.com/cppblog/msvc-now-correctly-reports-__cplusplus/
common:windows --copt=/Zc:__cplusplus
common:windows --host_copt=/Zc:__cplusplus

# Tensorflow uses M_* math constants that only get defined by MSVC headers if
# _USE_MATH_DEFINES is defined.
common:windows --copt=/D_USE_MATH_DEFINES

# libraries are language agnostic.
#
# This shared object is not used unless framework_shared_object=true (set in the
# configure script unconditionally); otherwise if it is false or undefined, the
# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that

// * unsigned char is used for booleans (instead of the 'bool' type).
//   In C++ bool is a keyword while in C99 bool is a macro defined
//   in stdbool.h. It is possible for the two to be inconsistent.
//   For example, neither the C99 nor the C++11 standard force a byte
//   size on the bool type, so the macro defined in stdbool.h could
//   be inconsistent with the bool keyword in C++. Thus, the use

	// Close the file descriptor.
	defer file.Close()

	st, err := file.Stat()
	if err != nil {
		return 0, err
	}

	// Verify it is a regular file, otherwise subsequent Seek is
	// undefined.
	if !st.Mode().IsRegular() {
		return 0, errIsNotRegular
	}

	if verifier == nil {
		n, err = file.ReadAt(buffer, offset)
		return int64(n), err
	}

	h := verifier.algorithm.New()

			return TrimLeft, nil
		case "TrimRight":
			return TrimRight, nil
		case "TrimPrefix":
			return nil, TrimPrefix
		case "TrimSuffix":
			return nil, TrimSuffix
		default:
			t.Errorf("Undefined trim function %s", name)
			return nil, nil
		}
	}

	for _, tc := range trimTests {
		name := tc.f
		f, fb := toFn(name)
		if f == nil && fb == nil {
			continue
		}

                        Version.V20,
                        prefix + prefix2 + "(groupId:artifactId)",
                        null,
                        "groupId of a plugin must be defined. ",
                        plugin);
            }

            if (plugin.getArtifactId() == null
                    || (plugin.getArtifactId() != null

TEST(CAPI, LibraryLoadFunctions) {
  // TODO(b/73318067): Fix linking for the GPU test generated by the
  // tf_cuda_cc_test() bazel rule and remove the next line.
  if (!GPUDeviceName().empty()) return;

#if !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  {
    // Load the library.
    TF_Status* status = TF_NewStatus();
    string lib_path = tensorflow::GetDataDependencyFilepath(

                    // At this point the DefaultModelBuildingListener has fired, and it populates the
                    // remote repositories with those found in the pom.xml, along with the existing externally
                    // defined repositories.
                    //
                    // Compute merged repositories for this project and store in session
                    // instead of mutating the shared request to avoid leakage between projects

		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrOverlappingFilterNotification: {
		Code:           "InvalidArgument",
		Description:    "An object key name filtering rule defined with overlapping prefixes, overlapping suffixes, or overlapping combinations of prefixes and suffixes for the same event types.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrFilterNameInvalid: {