import { Schema } from './schema';
import type { DefinitionsOfSchemaType } from './types';
import type { SchemaAdapter } from '../adapter';
import type { StandardSchemaV1 } from '@standard-schema/spec';
export declare class NumberSchema<TType extends {
    input: any;
    validate: any;
    internal: any;
    output: any;
    representation: any;
} = {
    input: number;
    output: number;
    validate: number;
    internal: number;
    representation: number;
}, TDefinitions extends DefinitionsOfSchemaType = DefinitionsOfSchemaType<SchemaAdapter & Palmares.PSchemaAdapter>> extends Schema<TType, TDefinitions> implements StandardSchemaV1<TType['input'], TType['output']> {
    protected fieldType: string;
    protected __allowString: boolean;
    protected __is?: {
        value: TType['input'][];
        message: string;
    };
    protected __integer?: {
        message: string;
    };
    protected __maxDigits?: {
        value: number;
        message: string;
    };
    protected __decimalPlaces?: {
        value: number;
        message: string;
    };
    protected __max?: {
        value: number;
        inclusive: boolean;
        message: string;
    };
    protected __min?: {
        value: number;
        inclusive: boolean;
        message: string;
    };
    protected __type: {
        message: string;
        check: (value: TType['input']) => boolean;
    };
    protected __transformToAdapter(options: Parameters<Schema['__transformToAdapter']>[0]): Promise<any>;
    /**
     * This let's you refine the schema with custom validations. This is useful when you want to validate something
     * that is not supported by default by the schema adapter.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schemas';
     *
     * const numberSchema = p.number().refine((value) => {
     *   if (value < 0) return { code: 'invalid_number', message: 'The number should be greater than 0' };
     * });
     *
     * const { errors, parsed } = await numberSchema.parse(-1);
     *
     * console.log(errors);
     * // [{ isValid: false, code: 'invalid_number', message: 'The number should be greater than 0', path: [] }]
     * ```
     *
     * @param refinementCallback - The callback that will be called to validate the value.
     * @param options - Options for the refinement.
     * @param options.isAsync - Whether the callback is async or not. Defaults to true.
     *
     * @returns The schema.
     */
    refine<TRefinementCallback extends (args: {
        value: TType['input'];
        context: TDefinitions['context'];
    }) => Promise<void | undefined | {
        code: string;
        message: string;
    }>>(refinementCallback: TRefinementCallback): NumberSchema<{
        input: TType['input'];
        validate: TType['validate'];
        internal: TType['internal'];
        output: TType['output'];
        representation: TType['representation'];
    }, TDefinitions>;
    /**
     * Allows the value to be either undefined or null.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schemas';
     *
     * const numberSchema = p.number().optional();
     *
     * const { errors, parsed } = await numberSchema.parse(undefined);
     *
     * console.log(parsed); // undefined
     *
     * const { errors, parsed } = await numberSchema.parse(null);
     *
     * console.log(parsed); // null
     *
     * const { errors, parsed } = await numberSchema.parse(1);
     *
     * console.log(parsed); // 1
     * ```
     *
     * @returns - The schema we are working with.
     */
    optional(options?: {
        message: string;
        allow: false;
    }): NumberSchema<{
        input: TType["input"] | undefined | null;
        validate: TType["validate"] | undefined | null;
        internal: TType["internal"] | undefined | null;
        output: TType["output"] | undefined | null;
        representation: TType["representation"] | undefined | null;
    }, TDefinitions>;
    /**
     * Just adds a message when the value is undefined. It's just a syntax sugar for
     *
     * ```typescript
     * p.string().optional({ message: 'This value cannot be null', allow: false })
     * ```
     *
     * @param options - The options of nonOptional function
     * @param options.message - A custom message if the value is undefined.
     *
     * @returns - The schema.
     */
    nonOptional(options?: {
        message: string;
    }): NumberSchema<{
        input: TType["input"];
        validate: TType["validate"];
        internal: TType["internal"];
        output: TType["output"];
        representation: TType["representation"];
    }, TDefinitions>;
    /**
     * Allows the value to be null and ONLY null. You can also use this function to set a custom message when the value
     * is NULL by setting the { message: 'Your custom message', allow: false } on the options.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schemas';
     *
     * const numberSchema = p.number().nullable();
     *
     * const { errors, parsed } = await numberSchema.parse(null);
     *
     * console.log(parsed); // null
     *
     * const { errors, parsed } = await numberSchema.parse(undefined);
     *
     * console.log(errors); // [{ isValid: false, code: 'invalid_type', message: 'Invalid type', path: [] }]
     * ```
     *
     * @param options - The options for the nullable function.
     * @param options.message - The message to be shown when the value is not null. Defaults to 'Cannot be null'.
     * @param options.allow - Whether the value can be null or not. Defaults to true.
     *
     * @returns The schema.
     */
    nullable(options?: {
        message: string;
        allow: false;
    }): NumberSchema<{
        input: TType["input"] | null;
        validate: TType["validate"] | null;
        internal: TType["internal"] | null;
        output: TType["output"] | null;
        representation: TType["representation"] | null;
    }, TDefinitions>;
    /**
     * Just adds a message when the value is null. It's just a syntax sugar for
     *
     * ```typescript
     * p.string().nullable({ message: 'This value cannot be null', allow: false })
     * ```
     *
     * @param options - The options of nonNullable function
     * @param options.message - A custom message if the value is null.
     *
     * @returns - The schema.
     */
    nonNullable(options?: {
        message: string;
    }): NumberSchema<{
        input: TType["input"];
        validate: TType["validate"];
        internal: TType["internal"];
        output: TType["output"];
        representation: TType["representation"];
    }, TDefinitions>;
    /**
     * This method will remove the value from the representation of the schema. If the value is undefined it will keep
     * that way otherwise it will set the value to undefined after it's validated.
     * This is used in conjunction with the {@link data} function, the {@link parse} function or {@link validate}
     * function. This will remove the value from the representation of the schema.
     *
     * By default, the value will be removed just from the representation, in other words, when you call the {@link data}
     * function.
     * But if you want to remove the value from the internal representation, you can pass the argument `toInternal`
     * as true. Then if you still want to remove the value from the representation, you will need to pass the argument
     * `toRepresentation` as true as well.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schemas';
     *
     * const userSchema = p.object({
     *   id: p.number().optional(),
     *   name: p.string(),
     *   password: p.string().omit()
     * });
     *
     * const user = await userSchema.data({
     *  id: 1,
     *  name: 'John Doe',
     *  password: '123456'
     * });
     *
     * console.log(user); // { id: 1, name: 'John Doe' }
     * ```
     *
     *
     * @param args - By default, the value will be removed just from the representation, in other words, when you call
     * the {@link data} function.
     * But if you want to remove the value from the internal representation, you can pass the argument `toInternal`
     * as true. Then if you still want to remove the value from the representation, you will need to pass the argument
     * `toRepresentation` as true as well.
     *
     * @returns The schema.
     */
    omit<TToInternal extends boolean, TToRepresentation extends boolean = boolean extends TToInternal ? true : false>(args?: {
        toInternal?: TToInternal;
        toRepresentation?: TToRepresentation;
        parent?: boolean;
    }): NumberSchema<{
        input: TToInternal extends true ? TType["input"] | undefined : TType["input"];
        validate: TToInternal extends true ? TType["validate"] | undefined : TType["validate"];
        internal: TToInternal extends true ? undefined : TType["internal"];
        output: TToRepresentation extends true ? TType["output"] | undefined : TType["output"];
        representation: TToRepresentation extends true ? undefined : TType["representation"];
    }, TDefinitions>;
    /**
     * This will allow the value to be a string, it does not validate, it just parses inputs as strings and allows the
     * result to be a string as well.
     *
     * @example
     * ```ts
     * number().allowString().parse('true') // true
     * ```
     *
     * @returns - The schema instance
     */
    allowString(): NumberSchema<{
        input: string | TType["input"];
        output: string | TType["output"];
        internal: string | TType["internal"];
        representation: string | TType["representation"];
        validate: string | TType["validate"];
    }, TDefinitions>;
    /**
     * This function is used in conjunction with the {@link validate} function. It's used to save a value to an external
     * source like a database. You should always return the schema after you save the value, that way we will always
     * have the correct type of the schema after the save operation.
     *
     * You can use the {@link toRepresentation} function to transform and clean the value it returns after the save.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schemas';
     *
     * import { User } from './models';
     *
     * const userSchema = p.object({
     *   id: p.number().optional(),
     *   name: p.string(),
     *   email: p.string().email(),
     * }).onSave(async (value) => {
     *   // Create or update the user on the database using palmares models or any other library of your choice.
     *   if (value.id)
     *      await User.default.set(value, { search: { id: value.id } });
     *   else
     *      await User.default.set(value);
     *
     *   return value;
     * });
     *
     *
     * // Then, on your controller, do something like this:
     * const { isValid, save, errors } = await userSchema.validate(req.body);
     * if (isValid) {
     *    const savedValue = await save();
     *    return Response.json(savedValue, { status: 201 });
     * }
     *
     * return Response.json({ errors }, { status: 400 });
     * ```
     *
     * @param callback - The callback that will be called to save the value on an external source.
     *
     * @returns The schema.
     */
    onSave<TSave extends ((value: TType['internal']) => (context: any) => Promise<TType['output']>) | ((value: TType['internal']) => Promise<TType['output']>)>(callback: TSave): NumberSchema<{
        input: TType['input'];
        validate: TType['validate'];
        internal: TType['internal'];
        output: TType['output'];
        representation: TType['representation'];
    }, Omit<TDefinitions, 'hasSave' | 'context'> & {
        hasSave: true;
        context: ReturnType<TSave> extends (context: any) => any ? Parameters<ReturnType<TSave>>[0] : any;
    }>;
    /**
     * This function is used to add a default value to the schema. If the value is either undefined or null, the default
     * value will be used.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schemas';
     *
     * const numberSchema = p.number().default(0);
     *
     * const { errors, parsed } = await numberSchema.parse(undefined);
     *
     * console.log(parsed); // 0
     * ```
     */
    default<TDefaultValue extends TType['input'] | (() => Promise<TType['input']>)>(defaultValueOrFunction: TDefaultValue): NumberSchema<{
        input: TType["input"] | undefined | null;
        validate: TType["validate"];
        internal: TType["internal"];
        output: TType["output"] | undefined | null;
        representation: TType["representation"];
    }, TDefinitions>;
    /**
     * This function let's you customize the schema your own way. After we translate the schema on the adapter we call
     * this function to let you customize the custom schema your own way. Our API does not support passthrough?
     * No problem, you can use this function to customize the zod schema.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schemas';
     *
     * const numberSchema = p.number().extends((schema) => {
     *   return schema.nonnegative();
     * });
     *
     * const { errors, parsed } = await numberSchema.parse(-1);
     *
     * console.log(errors);
     * // [{ isValid: false, code: 'nonnegative', message: 'The number should be nonnegative', path: [] }]
     * ```
     *
     * @param callback - The callback that will be called to customize the schema.
     * @param toStringCallback - The callback that will be called to transform the schema to a string when you
     * want to compile the underlying schema to a string so you can save it for future runs.
     *
     * @returns The schema.
     */
    extends(callback: (schema: Awaited<ReturnType<NonNullable<TDefinitions['schemaAdapter']['number']>['translate']>>) => Awaited<ReturnType<NonNullable<TDefinitions['schemaAdapter']['field']>['translate']>> | any, toStringCallback?: (schemaAsString: string) => string): this;
    /**
     * This function is used to transform the value to the representation of the schema. When using the {@link data}
     * function. With this function you have full control to add data cleaning for example, transforming the data and
     * whatever. Another use case is when you want to return deeply nested recursive data.
     * The schema maps to itself.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schemas';
     *
     * const recursiveSchema = p.object({
     *   id: p.number().optional(),
     *   name: p.string(),
     * }).toRepresentation(async (value) => {
     *    return {
     *      id: value.id,
     *      name: value.name,
     *      children: await Promise.all(value.children.map(async (child) => await recursiveSchema.data(child)))
     *    }
     * });
     *
     * const data = await recursiveSchema.data({
     *    id: 1,
     *    name: 'John Doe',
     * });
     * ```
     *
     * @example
     * ```
     * import * as p from '@palmares/schemas';
     *
     * const colorToRGBSchema = p.string().toRepresentation(async (value) => {
     *    switch (value) {
     *      case 'red': return { r: 255, g: 0, b: 0 };
     *      case 'green': return { r: 0, g: 255, b: 0 };
     *      case 'blue': return { r: 0, g: 0, b: 255 };
     *      default: return { r: 0, g: 0, b: 0 };
     *   }
     * });
     * ```
     * @param toRepresentationCallback - The callback that will be called to transform the value to the representation.
     *
     * @returns The schema with a new return type
     */
    toRepresentation<TRepresentation>(toRepresentationCallback: (value: TType['representation']) => Promise<TRepresentation>): NumberSchema<{
        input: TType["input"];
        validate: TType["validate"];
        internal: TType["internal"];
        output: TType["output"];
        representation: TRepresentation;
    }, TDefinitions>;
    /**
     * This function is used to transform the value to the internal representation of the schema. This is useful when
     * you want to transform the value to a type that the schema adapter can understand. For example, you might want
     * to transform a string to a date. This is the function you use.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schemas';
     *
     * const dateSchema = p.string().toInternal((value) => {
     *   return new Date(value);
     * });
     *
     * const date = await dateSchema.parse('2021-01-01');
     *
     * console.log(date); // Date object
     *
     * const rgbToColorSchema = p.object({
     *   r: p.number().min(0).max(255),
     *   g: p.number().min(0).max(255),
     *   b: p.number().min(0).max(255),
     * }).toInternal(async (value) => {
     *    if (value.r === 255 && value.g === 0 && value.b === 0) return 'red';
     *    if (value.r === 0 && value.g === 255 && value.b === 0) return 'green';
     *    if (value.r === 0 && value.g === 0 && value.b === 255) return 'blue';
     *    return `rgb(${value.r}, ${value.g}, ${value.b})`;
     * });
     * ```
     *
     * @param toInternalCallback - The callback that will be called to transform the value to the internal representation.
     *
     * @returns The schema with a new return type.
     */
    toInternal<TInternal>(toInternalCallback: (value: TType['validate']) => Promise<TInternal>): NumberSchema<{
        input: TType["input"];
        validate: TType["validate"];
        internal: TInternal;
        output: TType["output"];
        representation: TType["representation"];
    }, TDefinitions>;
    /**
     * Called before the validation of the schema. Let's say that you want to validate a date that might receive a string,
     * you can convert that string to a date
     * here BEFORE the validation. This pretty much transforms the value to a type that the schema adapter can understand.
     *
     * @example
     * ```
     * import * as p from '@palmares/schemas';
     * import * as z from 'zod';
     *
     * const customRecordToMapSchema = p.schema().appendSchema(z.map()).toValidate(async (value) => {
     *    return new Map(value); // Before validating we transform the value to a map.
     * });
     *
     * const { errors, parsed } = await customRecordToMapSchema.parse({ key: 'value' });
     * ```
     *
     * @param toValidateCallback - The callback that will be called to validate the value.
     *
     * @returns The schema with a new return type.
     */
    toValidate<TValidate>(toValidateCallback: (value: TType['input'], context: TDefinitions['context']) => Promise<TValidate> | TValidate): NumberSchema<{
        input: TType["input"];
        validate: TValidate;
        internal: TType["internal"];
        output: TType["output"];
        representation: TType["representation"];
    }, TDefinitions>;
    /**
     * Defines a list of numbers that are allowed, it's not a range but the actual numbers that are allowed, it's useful
     * when you want to allow only specific set of numbers.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schema';
     *
     * const schema = p.number().is([1, 2, 3]);
     *
     * schema.parse(1); // { errors: [], parsed: 1 }
     * schema.parse(2); // { errors: [], parsed: 2 }
     * schema.parse(3); // { errors: [], parsed: 3 }
     * schema.parse(4); // { errors: [{ code: 'is', message: 'The value should be equal to 1,2,3' }], parsed: 4 }
     * ```
     *
     * @param value - The list of numbers that are allowed
     *
     * @returns - The schema instance
     */
    is<const TValue extends TType['input'][]>(value: TValue, options?: Partial<Omit<NonNullable<NumberSchema['__is']>, 'value'>>): Schema<{
        input: TValue[number];
        output: TValue[number];
        internal: TValue[number];
        representation: TValue[number];
        validate: TValue[number];
    }, TDefinitions>;
    /**
     * Allows only numbers that are less than the value passed. If you want to allow the number to be equal to the value,
     * you can pass the option `inclusive` as `true`.
     * Otherwise, it will only allow numbers less than the value.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schema';
     *
     * const schema = p.number().max(10);
     *
     * schema.parse(10); // { errors: [{ code: 'max', message: 'The number should be less than 10' }], parsed: 10 }
     * schema.parse(9); // { errors: [], parsed: 9 }
     *
     * const schema = p.number().max(10, { inclusive: true });
     *
     * schema.parse(10); // { errors: [], parsed: 10 }
     * ```
     *
     * @param value - The value to compare with the number
     * @param options - The options to be passed to the validation
     * @param options.inclusive - If you want to allow the number to be equal to the value, you can pass this option
     * @param options.message - The message to be returned if the validation fails
     *
     * @returns - The schema instance
     */
    max(value: number, options?: {
        inclusive?: boolean;
        message?: string;
    }): NumberSchema<TType, TDefinitions> & {
        is: never;
    };
    /**
     * This method will validate if the number is greater than the value passed. If you want to allow the number to be
     * equal to the value, you can pass the option `inclusive` as `true`.
     * Otherwise, it will only allow numbers greater than the value.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schema';
     *
     * const schema = p.number().min(10);
     *
     * schema.parse(10); // { errors: [], parsed: 10 }
     * schema.parse(9); // { errors: [{ code: 'min', message: 'The number should be greater than 10' }], parsed: 9 }
     *
     * const schema = p.number().min(10, { inclusive: true });
     *
     * schema.parse(10); // { errors: [], parsed: 10 }
     * ```
     *
     * @param value - The value to compare with the number
     * @param options - The options to be passed to the validation
     * @param options.inclusive - If you want to allow the number to be equal to the value, you can pass this option
     * @param options.message - The message to be returned if the validation fails
     *
     * @returns - The schema instance
     */
    min(value: number, options?: {
        inclusive?: boolean;
        message?: string;
    }): this;
    /**
     * This method will validate the number to have the exact number of decimal places. It's usually useful for decimal
     * numbers like currencies.
     *
     * @example
     * ```
     * const schema = number().decimalPlaces(2);
     *
     * schema.parse(10.00); // { errors: [], parsed: 10.00}
     *
     * schema.parse(10.000);
     * // { errors: [{ code: 'decimal_places', message: 'The number should have 2 decimal places' }], parsed: 10.000}
     * ```
     *
     * @param value - The number of decimal places.
     * @param options - The options.
     * @param options.message - The message to show if the validation fails.
     *
     * @returns The schema so you can chain other methods.
     */
    decimalPlaces(value: number, options?: {
        message?: string;
    }): NumberSchema<{
        input: TType["input"];
        output: TType["output"];
        representation: TType["representation"];
        internal: TType["internal"];
        validate: TType["validate"];
    }, TDefinitions>;
    /**
     * This method will validate the number to have at most the number of digits specified. If used in conjunction with
     * {@link decimalPlaces}, this number should be bigger than the value of the decimal places.
     *
     * Think about that
     *
     * - If you have a number with 2 decimal places, the number 10.00 has 4 digits and 2 decimal places.
     * - The number 10.000 has 5 digits and 3 decimal places.
     *
     * @example
     * ```
     * const schema = number().maxDigits(4);
     *
     * schema.parse(10); // { errors: [], parsed: 10}
     * schema.parse(100); // { errors: [], parsed: 100}
     * schema.parse(1000); // { errors: [], parsed: 1000}
     * ```
     *
     * @param value - The maximum number of digits, counting the digits before and after the decimal point.
     * @param options - Custom options for the validation.
     * @param options.message - The message to show if the validation fails.
     *
     * @returns - The schema so you can chain other methods.
     */
    maxDigits(value: number, options?: {
        message?: string;
    }): NumberSchema<{
        input: TType["input"];
        output: TType["output"];
        representation: TType["representation"];
        internal: TType["internal"];
        validate: TType["validate"];
    }, TDefinitions>;
    /**
     * With this method we will validate if the number is an integer. If it's not, we will return an error.
     *
     * @example
     * ```typescript
     * import * as p from '@palmares/schema';
     *
     * const schema = p.number().integer();
     *
     * schema.parse(10); // { errors: [], parsed: 10 }
     * schema.parse(10.1); // { errors: [{ code: 'integer', message: 'The number should be an integer' }], parsed: 10.1 }
     * ```
     *
     * @param options - The options to be passed to the validation
     * @param options.message - The message to be returned if the validation fails
     *
     * @returns - The schema instance
     */
    integer(options?: {
        message?: string;
    }): NumberSchema<{
        input: TType["input"];
        output: TType["output"];
        representation: TType["representation"];
        internal: TType["internal"];
        validate: TType["validate"];
    }, TDefinitions>;
    static new<TDefinitions extends DefinitionsOfSchemaType = DefinitionsOfSchemaType<SchemaAdapter & Palmares.PSchemaAdapter>>(): NumberSchema<{
        input: number;
        output: number;
        internal: number;
        representation: number;
        validate: number;
    }, TDefinitions>;
}
export declare const number: <TDefinitions extends DefinitionsOfSchemaType = DefinitionsOfSchemaType<SchemaAdapter & Palmares.PSchemaAdapter>>() => NumberSchema<{
    input: number;
    output: number;
    internal: number;
    representation: number;
    validate: number;
}, TDefinitions>;
//# sourceMappingURL=number.d.ts.map