package clause_test

import (
	"fmt"
	"sort"
	"strings"
	"testing"

	"gorm.io/gorm/clause"
)

func TestSet(t *testing.T) {
	results := []struct {
		Clauses []clause.Interface
		Result  string
		Vars    []interface{}
	}{
		{
			[]clause.Interface{
				clause.Update{},
				clause.Set([]clause.Assignment{{clause.PrimaryColumn, 1}}),
			},
			"UPDATE `users` SET `users`.`id`=?",
			[]interface{}{1},
		},

		}
		shiftDelimiter++
	}

	if continuousBacktick > 0 && !selfQuoted {
		writer.WriteString("``")
	}
	writer.WriteByte('`')
}

func (DummyDialector) Explain(sql string, vars ...interface{}) string {
	return logger.ExplainSQL(sql, nil, `"`, vars...)
}

func (DummyDialector) DataTypeOf(*schema.Field) string {
	return ""
}

func (d DummyDialector) Translate(err error) error {
	return d.TranslatedErr

					Expression: clause.Expr{SQL: "FIELD(id, ?)", Vars: []interface{}{[]int{1, 2, 3}}, WithoutParentheses: true},
				},
			},
			"SELECT * FROM `users` ORDER BY FIELD(id, ?,?,?)",
			[]interface{}{1, 2, 3},
		},
	}

	for idx, result := range results {
		t.Run(fmt.Sprintf("case #%v", idx), func(t *testing.T) {
			checkBuildClauses(t, result.Clauses, result.Result, result.Vars)
		})
	}

package clause_test

import (
	"fmt"
	"testing"

	"gorm.io/gorm/clause"
)

func TestReturning(t *testing.T) {
	results := []struct {
		Clauses []clause.Interface
		Result  string
		Vars    []interface{}
	}{
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.Returning{
				[]clause.Column{clause.PrimaryColumn},
			}},
			"SELECT * FROM `users` RETURNING `users`.`id`", nil,
		}, {

///

An environment variable (also known as "**env var**") is a variable that lives **outside** of the Python code, in the **operating system**, and could be read by your Python code (or by other programs as well).

Environment variables could be useful for handling application **settings**, as part of the **installation** of Python, etc.

## Create and Use Env Vars { #create-and-use-env-vars }

	sql := DB.Dialector.Explain(stmt.SQL.String(), stmt.Vars...)
	if !regexp.MustCompile(`.*age.*=8,`).MatchString(sql) {
		t.Errorf("Failed to generate sql, got %v", sql)
	}

	stmt = dryRunDB.Model(&user).Where("id = ?", 1).Updates(map[string]interface{}{"age": ageUint64(10241024)}).Statement
	sql = DB.Dialector.Explain(stmt.SQL.String(), stmt.Vars...)
	if !regexp.MustCompile(`.*age.*=10241024,`).MatchString(sql) {

	z, ok := objectAPI.(*erasureServerPools)
	if !ok {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrNotImplemented), r.URL)
		return
	}

	vars := mux.Vars(r)

	var args dsync.LockArgs
	var lockers []dsync.NetLocker
	for path := range strings.SplitSeq(vars["paths"], ",") {
		if path == "" {
			continue
		}
		args.Resources = append(args.Resources, path)
	}

## Conditional OpenAPI from settings and env vars { #conditional-openapi-from-settings-and-env-vars }

You can easily use the same Pydantic settings to configure your generated OpenAPI and the docs UIs.

For example:

{* ../../docs_src/conditional_openapi/tutorial001.py hl[6,11] *}

package clause_test

import (
	"fmt"
	"testing"

	"gorm.io/gorm/clause"
)

func TestGroupBy(t *testing.T) {
	results := []struct {
		Clauses []clause.Interface
		Result  string
		Vars    []interface{}
	}{
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.GroupBy{
				Columns: []clause.Column{{Name: "role"}},
				Having:  []clause.Expression{clause.Eq{"role", "admin"}},
			}},

        map sigbuild-r2.12-python3.9 2.12-python3.9
        map sigbuild-r2.12-python3.10 2.12-python3.10
        map sigbuild-r2.12-python3.11 2.12-python3.11
        # TF 2.12 + Clang (containers are the same, but env vars in configs.bzl are different)
        map sigbuild-r2.12-clang 2.12-python3.9
        map sigbuild-r2.12-clang-python3.8 2.12-python3.8
        map sigbuild-r2.12-clang-python3.9 2.12-python3.9