{
            "detail": [
                {
                    "type": "greater_than",
                    "loc": ["body", "item", "price"],
                    "msg": "Input should be greater than 0",
                    "input": -3.0,
                    "ctx": {"gt": 0.0},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

        {
            "detail": [
                {
                    "type": "greater_than",
                    "loc": ["body", "item", "price"],
                    "msg": "Input should be greater than 0",
                    "input": -3.0,
                    "ctx": {"gt": 0.0},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

	}

	for i, testCase := range testCases {
		// creating an input HTTP request.
		// Only the headers are relevant for this particular test.
		inputReq, err := http.NewRequest(http.MethodGet, "http://example.com", nil)
		if err != nil {
			t.Fatalf("Error initializing input HTTP request: %v", err)
		}
		if testCase.inputQueryKey != "" {
			q := inputReq.URL.Query()

  }

  /**
   * Reads all characters from a URL into a {@link String}, using the given character set.
   *
   * @param url the URL to read from
   * @param charset the charset used to decode the input stream; see {@link StandardCharsets} for
   *     helpful predefined constants
   * @return a string containing all the characters from the URL
   * @throws IOException if an I/O error occurs.
   */

wrapperUpdateTask("nightly", "nightly")
wrapperUpdateTask("rc", "release-candidate")
wrapperUpdateTask("current", "current")

tasks.withType<Wrapper>().configureEach {
    val jvmOpts = "-Dfile.encoding=UTF-8"
    inputs.property("jvmOpts", jvmOpts)
    doLast {
        val optsEnvVar = "DEFAULT_JVM_OPTS"
        scriptFile.writeText(scriptFile.readText().replace("$optsEnvVar='", "$optsEnvVar='$jvmOpts "))

        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

        {
            "detail": [
                {
                    "type": "missing",
                    "loc": ["body", "file"],
                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {

package com.google.common.math;

import java.math.BigInteger;
import java.util.Random;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */

        {
            "detail": [
                {
                    "type": "greater_than",
                    "loc": ["body", "item", "price"],
                    "msg": "Input should be greater than 0",
                    "input": -3.0,
                    "ctx": {"gt": 0.0},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

import (
	"testing"
)

func TestEvalSQLLike(t *testing.T) {
	dropCases := []struct {
		input, resultExpected string
		matchExpected         bool
	}{
		{"", "", false},
		{"a", "", true},
		{"ab", "b", true},
		{"தமிழ்", "மிழ்", true},
	}

	for i, tc := range dropCases {
		res, ok := dropRune(tc.input)
		if res != tc.resultExpected || ok != tc.matchExpected {
			t.Errorf("DropRune Case %d failed", i)
		}