users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

  - type: textarea
    attributes:
      label: API(s)
      description: Which existing classes or methods do you want to improve?

import inspect
import sys
from dataclasses import dataclass, field
from functools import cached_property, partial
from typing import Any, Callable, Optional, Union

from fastapi._compat import ModelField
from fastapi.security.base import SecurityBase
from fastapi.types import DependencyCacheKey
from typing_extensions import Literal

if sys.version_info >= (3, 13):  # pragma: no cover
    from inspect import iscoroutinefunction

from decimal import Decimal
from enum import Enum
from math import isinf, isnan
from pathlib import PurePath, PurePosixPath, PureWindowsPath
from typing import Optional, TypedDict

import pytest
from fastapi._compat import Undefined
from fastapi.encoders import jsonable_encoder
from fastapi.exceptions import PydanticV1NotSupportedError
from pydantic import BaseModel, Field, ValidationError


class Person:

    public Model getModel() {
        return project.getModel().getDelegate();
    }

    @Nonnull
    @Override
    public Path getPomPath() {
        return Objects.requireNonNull(project.getFile(), "pomPath cannot be null")
                .toPath();
    }

    @Nonnull
    @Override
    public Path getBasedir() {
        return Objects.requireNonNull(project.getBasedir(), "basedir cannot be null")

    assertThat(Enums.getIfPresent(TestEnum.class, "poodlE")).isAbsent();
  }

  public void testGetIfPresent_whenNoMatchingConstant() {
    assertThat(Enums.getIfPresent(TestEnum.class, "WOMBAT")).isAbsent();
  }


  @J2ktIncompatible
  @AndroidIncompatible // depends on details of GC and classloading
  public void testGetIfPresent_doesNotPreventClassUnloading() throws Exception {

        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.


        Guava's main yardstick for evaluating proposed features can be summed up as [utility times

      // we could limit the buffer to ensure process() does not read more than
      // chunkSize number of bytes, but we trust the implementations
      process(buffer);
    }
    buffer.compact(); // preserve any remaining data that do not make a full chunk
  }

    * Notes on LB name:
    * to ensure backword and forward compat:
    * - SingleStack -v4 (pre v1.16) => BackendPool name == clusterName
    * - SingleStack -v6 => BackendPool name == clusterName (all cluster bootstrap uses this name)
    * DualStack:

from pydantic import BaseModel
from pydantic.color import Color
from pydantic.networks import AnyUrl, NameEmail
from pydantic.types import SecretBytes, SecretStr
from pydantic_core import PydanticUndefinedType

from ._compat import (
    Url,
    is_pydantic_v1_model_instance,
)


# Taken from Pydantic v1 as is
def isoformat(o: Union[datetime.date, datetime.time]) -> str:
    return o.isoformat()

	}
	c, err := b.ReadByte()
	if err != nil {
		t.Fatalf("ReadByte: %v", err)
	}
	if c != 'm' {
		t.Errorf("ReadByte = %q; want %q", c, 'm')
	}
}

// Tests that we occasionally compact. Issue 5154.
func TestBufferGrowth(t *testing.T) {
	var b Buffer
	buf := make([]byte, 1024)
	b.Write(buf[0:1])
	var cap0 int
	for i := 0; i < 5<<10; i++ {
		b.Write(buf)
		b.Read(buf)
		if i == 0 {