shanxia2.0/backend/venv/lib/python3.9/site-packages/alibabacloud_ocr_api20210707/models.py

# -*- coding: utf-8 -*-
# This file is auto-generated, don't edit it. Thanks.
from Tea.model import TeaModel
from typing import Any, List, BinaryIO, Dict


class DataSubImagesFigureInfoValueFigureDetailsFigurePoints(TeaModel):
    def __init__(
        self,
        x: int = None,
        y: int = None,
    ):
        self.x = x
        self.y = y

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.x is not None:
            result['X'] = self.x
        if self.y is not None:
            result['Y'] = self.y
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('X') is not None:
            self.x = m.get('X')
        if m.get('Y') is not None:
            self.y = m.get('Y')
        return self


class DataSubImagesFigureInfoValueFigureDetailsFigureRect(TeaModel):
    def __init__(
        self,
        center_x: int = None,
        center_y: int = None,
        width: int = None,
        height: int = None,
    ):
        self.center_x = center_x
        self.center_y = center_y
        self.width = width
        self.height = height

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.center_x is not None:
            result['CenterX'] = self.center_x
        if self.center_y is not None:
            result['CenterY'] = self.center_y
        if self.width is not None:
            result['Width'] = self.width
        if self.height is not None:
            result['Height'] = self.height
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CenterX') is not None:
            self.center_x = m.get('CenterX')
        if m.get('CenterY') is not None:
            self.center_y = m.get('CenterY')
        if m.get('Width') is not None:
            self.width = m.get('Width')
        if m.get('Height') is not None:
            self.height = m.get('Height')
        return self


class DataSubImagesFigureInfoValueFigureDetails(TeaModel):
    def __init__(
        self,
        type: str = None,
        data: Any = None,
        figure_points: List[DataSubImagesFigureInfoValueFigureDetailsFigurePoints] = None,
        figure_rect: DataSubImagesFigureInfoValueFigureDetailsFigureRect = None,
        figure_angle: int = None,
    ):
        self.type = type
        self.data = data
        self.figure_points = figure_points
        self.figure_rect = figure_rect
        self.figure_angle = figure_angle

    def validate(self):
        if self.figure_points:
            for k in self.figure_points:
                if k:
                    k.validate()
        if self.figure_rect:
            self.figure_rect.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.type is not None:
            result['Type'] = self.type
        if self.data is not None:
            result['Data'] = self.data
        result['FigurePoints'] = []
        if self.figure_points is not None:
            for k in self.figure_points:
                result['FigurePoints'].append(k.to_map() if k else None)
        if self.figure_rect is not None:
            result['FigureRect'] = self.figure_rect.to_map()
        if self.figure_angle is not None:
            result['FigureAngle'] = self.figure_angle
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Type') is not None:
            self.type = m.get('Type')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        self.figure_points = []
        if m.get('FigurePoints') is not None:
            for k in m.get('FigurePoints'):
                temp_model = DataSubImagesFigureInfoValueFigureDetailsFigurePoints()
                self.figure_points.append(temp_model.from_map(k))
        if m.get('FigureRect') is not None:
            temp_model = DataSubImagesFigureInfoValueFigureDetailsFigureRect()
            self.figure_rect = temp_model.from_map(m['FigureRect'])
        if m.get('FigureAngle') is not None:
            self.figure_angle = m.get('FigureAngle')
        return self


class DataSubImagesFigureInfoValue(TeaModel):
    def __init__(
        self,
        figure_count: int = None,
        figure_details: List[DataSubImagesFigureInfoValueFigureDetails] = None,
    ):
        self.figure_count = figure_count
        self.figure_details = figure_details

    def validate(self):
        if self.figure_details:
            for k in self.figure_details:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.figure_count is not None:
            result['FigureCount'] = self.figure_count
        result['FigureDetails'] = []
        if self.figure_details is not None:
            for k in self.figure_details:
                result['FigureDetails'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('FigureCount') is not None:
            self.figure_count = m.get('FigureCount')
        self.figure_details = []
        if m.get('FigureDetails') is not None:
            for k in m.get('FigureDetails'):
                temp_model = DataSubImagesFigureInfoValueFigureDetails()
                self.figure_details.append(temp_model.from_map(k))
        return self


class DataSubImagesKvInfoKvDetailsValueValuePoints(TeaModel):
    def __init__(
        self,
        x: int = None,
        y: int = None,
    ):
        self.x = x
        self.y = y

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.x is not None:
            result['X'] = self.x
        if self.y is not None:
            result['Y'] = self.y
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('X') is not None:
            self.x = m.get('X')
        if m.get('Y') is not None:
            self.y = m.get('Y')
        return self


class DataSubImagesKvInfoKvDetailsValueValueRect(TeaModel):
    def __init__(
        self,
        center_x: int = None,
        center_y: int = None,
        width: int = None,
        height: int = None,
    ):
        self.center_x = center_x
        self.center_y = center_y
        self.width = width
        self.height = height

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.center_x is not None:
            result['CenterX'] = self.center_x
        if self.center_y is not None:
            result['CenterY'] = self.center_y
        if self.width is not None:
            result['Width'] = self.width
        if self.height is not None:
            result['Height'] = self.height
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CenterX') is not None:
            self.center_x = m.get('CenterX')
        if m.get('CenterY') is not None:
            self.center_y = m.get('CenterY')
        if m.get('Width') is not None:
            self.width = m.get('Width')
        if m.get('Height') is not None:
            self.height = m.get('Height')
        return self


class DataSubImagesKvInfoKvDetailsValue(TeaModel):
    def __init__(
        self,
        key_name: str = None,
        key_confidence: int = None,
        value: str = None,
        value_confidence: int = None,
        value_points: List[DataSubImagesKvInfoKvDetailsValueValuePoints] = None,
        value_rect: DataSubImagesKvInfoKvDetailsValueValueRect = None,
        value_angle: int = None,
    ):
        self.key_name = key_name
        self.key_confidence = key_confidence
        self.value = value
        self.value_confidence = value_confidence
        self.value_points = value_points
        self.value_rect = value_rect
        self.value_angle = value_angle

    def validate(self):
        if self.value_points:
            for k in self.value_points:
                if k:
                    k.validate()
        if self.value_rect:
            self.value_rect.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.key_name is not None:
            result['KeyName'] = self.key_name
        if self.key_confidence is not None:
            result['KeyConfidence'] = self.key_confidence
        if self.value is not None:
            result['Value'] = self.value
        if self.value_confidence is not None:
            result['ValueConfidence'] = self.value_confidence
        result['ValuePoints'] = []
        if self.value_points is not None:
            for k in self.value_points:
                result['ValuePoints'].append(k.to_map() if k else None)
        if self.value_rect is not None:
            result['ValueRect'] = self.value_rect.to_map()
        if self.value_angle is not None:
            result['ValueAngle'] = self.value_angle
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('KeyName') is not None:
            self.key_name = m.get('KeyName')
        if m.get('KeyConfidence') is not None:
            self.key_confidence = m.get('KeyConfidence')
        if m.get('Value') is not None:
            self.value = m.get('Value')
        if m.get('ValueConfidence') is not None:
            self.value_confidence = m.get('ValueConfidence')
        self.value_points = []
        if m.get('ValuePoints') is not None:
            for k in m.get('ValuePoints'):
                temp_model = DataSubImagesKvInfoKvDetailsValueValuePoints()
                self.value_points.append(temp_model.from_map(k))
        if m.get('ValueRect') is not None:
            temp_model = DataSubImagesKvInfoKvDetailsValueValueRect()
            self.value_rect = temp_model.from_map(m['ValueRect'])
        if m.get('ValueAngle') is not None:
            self.value_angle = m.get('ValueAngle')
        return self


class RecognizeAdvancedRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        need_sort_page: bool = None,
        no_stamp: bool = None,
        output_char_info: bool = None,
        output_figure: bool = None,
        output_table: bool = None,
        paragraph: bool = None,
        row: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.need_sort_page = need_sort_page
        self.no_stamp = no_stamp
        self.output_char_info = output_char_info
        self.output_figure = output_figure
        self.output_table = output_table
        self.paragraph = paragraph
        self.row = row
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.need_sort_page is not None:
            result['NeedSortPage'] = self.need_sort_page
        if self.no_stamp is not None:
            result['NoStamp'] = self.no_stamp
        if self.output_char_info is not None:
            result['OutputCharInfo'] = self.output_char_info
        if self.output_figure is not None:
            result['OutputFigure'] = self.output_figure
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.paragraph is not None:
            result['Paragraph'] = self.paragraph
        if self.row is not None:
            result['Row'] = self.row
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('NeedSortPage') is not None:
            self.need_sort_page = m.get('NeedSortPage')
        if m.get('NoStamp') is not None:
            self.no_stamp = m.get('NoStamp')
        if m.get('OutputCharInfo') is not None:
            self.output_char_info = m.get('OutputCharInfo')
        if m.get('OutputFigure') is not None:
            self.output_figure = m.get('OutputFigure')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('Paragraph') is not None:
            self.paragraph = m.get('Paragraph')
        if m.get('Row') is not None:
            self.row = m.get('Row')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeAdvancedResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeAdvancedResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeAdvancedResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeAdvancedResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeAirItineraryRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeAirItineraryResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeAirItineraryResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeAirItineraryResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeAirItineraryResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeAllTextRequestAdvancedConfig(TeaModel):
    def __init__(
        self,
        is_hand_writing_table: bool = None,
        is_line_less_table: bool = None,
        output_char_info: bool = None,
        output_paragraph: bool = None,
        output_row: bool = None,
        output_table: bool = None,
        output_table_excel: bool = None,
        output_table_html: bool = None,
    ):
        self.is_hand_writing_table = is_hand_writing_table
        self.is_line_less_table = is_line_less_table
        self.output_char_info = output_char_info
        self.output_paragraph = output_paragraph
        self.output_row = output_row
        self.output_table = output_table
        self.output_table_excel = output_table_excel
        self.output_table_html = output_table_html

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.is_hand_writing_table is not None:
            result['IsHandWritingTable'] = self.is_hand_writing_table
        if self.is_line_less_table is not None:
            result['IsLineLessTable'] = self.is_line_less_table
        if self.output_char_info is not None:
            result['OutputCharInfo'] = self.output_char_info
        if self.output_paragraph is not None:
            result['OutputParagraph'] = self.output_paragraph
        if self.output_row is not None:
            result['OutputRow'] = self.output_row
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.output_table_excel is not None:
            result['OutputTableExcel'] = self.output_table_excel
        if self.output_table_html is not None:
            result['OutputTableHtml'] = self.output_table_html
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('IsHandWritingTable') is not None:
            self.is_hand_writing_table = m.get('IsHandWritingTable')
        if m.get('IsLineLessTable') is not None:
            self.is_line_less_table = m.get('IsLineLessTable')
        if m.get('OutputCharInfo') is not None:
            self.output_char_info = m.get('OutputCharInfo')
        if m.get('OutputParagraph') is not None:
            self.output_paragraph = m.get('OutputParagraph')
        if m.get('OutputRow') is not None:
            self.output_row = m.get('OutputRow')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('OutputTableExcel') is not None:
            self.output_table_excel = m.get('OutputTableExcel')
        if m.get('OutputTableHtml') is not None:
            self.output_table_html = m.get('OutputTableHtml')
        return self


class RecognizeAllTextRequestIdCardConfig(TeaModel):
    def __init__(
        self,
        llm_rec: bool = None,
        output_id_card_quality: bool = None,
    ):
        self.llm_rec = llm_rec
        self.output_id_card_quality = output_id_card_quality

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.llm_rec is not None:
            result['Llm_rec'] = self.llm_rec
        if self.output_id_card_quality is not None:
            result['OutputIdCardQuality'] = self.output_id_card_quality
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Llm_rec') is not None:
            self.llm_rec = m.get('Llm_rec')
        if m.get('OutputIdCardQuality') is not None:
            self.output_id_card_quality = m.get('OutputIdCardQuality')
        return self


class RecognizeAllTextRequestInternationalBusinessLicenseConfig(TeaModel):
    def __init__(
        self,
        country: str = None,
    ):
        self.country = country

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.country is not None:
            result['Country'] = self.country
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Country') is not None:
            self.country = m.get('Country')
        return self


class RecognizeAllTextRequestInternationalIdCardConfig(TeaModel):
    def __init__(
        self,
        country: str = None,
    ):
        self.country = country

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.country is not None:
            result['Country'] = self.country
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Country') is not None:
            self.country = m.get('Country')
        return self


class RecognizeAllTextRequestMultiLanConfig(TeaModel):
    def __init__(
        self,
        languages: str = None,
    ):
        self.languages = languages

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.languages is not None:
            result['Languages'] = self.languages
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Languages') is not None:
            self.languages = m.get('Languages')
        return self


class RecognizeAllTextRequestTableConfig(TeaModel):
    def __init__(
        self,
        is_hand_writing_table: bool = None,
        is_line_less_table: bool = None,
        output_table_excel: bool = None,
        output_table_html: bool = None,
    ):
        self.is_hand_writing_table = is_hand_writing_table
        self.is_line_less_table = is_line_less_table
        self.output_table_excel = output_table_excel
        self.output_table_html = output_table_html

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.is_hand_writing_table is not None:
            result['IsHandWritingTable'] = self.is_hand_writing_table
        if self.is_line_less_table is not None:
            result['IsLineLessTable'] = self.is_line_less_table
        if self.output_table_excel is not None:
            result['OutputTableExcel'] = self.output_table_excel
        if self.output_table_html is not None:
            result['OutputTableHtml'] = self.output_table_html
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('IsHandWritingTable') is not None:
            self.is_hand_writing_table = m.get('IsHandWritingTable')
        if m.get('IsLineLessTable') is not None:
            self.is_line_less_table = m.get('IsLineLessTable')
        if m.get('OutputTableExcel') is not None:
            self.output_table_excel = m.get('OutputTableExcel')
        if m.get('OutputTableHtml') is not None:
            self.output_table_html = m.get('OutputTableHtml')
        return self


class RecognizeAllTextRequest(TeaModel):
    def __init__(
        self,
        advanced_config: RecognizeAllTextRequestAdvancedConfig = None,
        id_card_config: RecognizeAllTextRequestIdCardConfig = None,
        international_business_license_config: RecognizeAllTextRequestInternationalBusinessLicenseConfig = None,
        international_id_card_config: RecognizeAllTextRequestInternationalIdCardConfig = None,
        multi_lan_config: RecognizeAllTextRequestMultiLanConfig = None,
        output_bar_code: bool = None,
        output_coordinate: str = None,
        output_figure: bool = None,
        output_kvexcel: bool = None,
        output_oricoord: bool = None,
        output_qrcode: bool = None,
        output_stamp: bool = None,
        page_no: int = None,
        table_config: RecognizeAllTextRequestTableConfig = None,
        type: str = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.advanced_config = advanced_config
        self.id_card_config = id_card_config
        self.international_business_license_config = international_business_license_config
        self.international_id_card_config = international_id_card_config
        self.multi_lan_config = multi_lan_config
        self.output_bar_code = output_bar_code
        self.output_coordinate = output_coordinate
        self.output_figure = output_figure
        self.output_kvexcel = output_kvexcel
        self.output_oricoord = output_oricoord
        self.output_qrcode = output_qrcode
        self.output_stamp = output_stamp
        self.page_no = page_no
        self.table_config = table_config
        # This parameter is required.
        self.type = type
        self.url = url
        self.body = body

    def validate(self):
        if self.advanced_config:
            self.advanced_config.validate()
        if self.id_card_config:
            self.id_card_config.validate()
        if self.international_business_license_config:
            self.international_business_license_config.validate()
        if self.international_id_card_config:
            self.international_id_card_config.validate()
        if self.multi_lan_config:
            self.multi_lan_config.validate()
        if self.table_config:
            self.table_config.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.advanced_config is not None:
            result['AdvancedConfig'] = self.advanced_config.to_map()
        if self.id_card_config is not None:
            result['IdCardConfig'] = self.id_card_config.to_map()
        if self.international_business_license_config is not None:
            result['InternationalBusinessLicenseConfig'] = self.international_business_license_config.to_map()
        if self.international_id_card_config is not None:
            result['InternationalIdCardConfig'] = self.international_id_card_config.to_map()
        if self.multi_lan_config is not None:
            result['MultiLanConfig'] = self.multi_lan_config.to_map()
        if self.output_bar_code is not None:
            result['OutputBarCode'] = self.output_bar_code
        if self.output_coordinate is not None:
            result['OutputCoordinate'] = self.output_coordinate
        if self.output_figure is not None:
            result['OutputFigure'] = self.output_figure
        if self.output_kvexcel is not None:
            result['OutputKVExcel'] = self.output_kvexcel
        if self.output_oricoord is not None:
            result['OutputOricoord'] = self.output_oricoord
        if self.output_qrcode is not None:
            result['OutputQrcode'] = self.output_qrcode
        if self.output_stamp is not None:
            result['OutputStamp'] = self.output_stamp
        if self.page_no is not None:
            result['PageNo'] = self.page_no
        if self.table_config is not None:
            result['TableConfig'] = self.table_config.to_map()
        if self.type is not None:
            result['Type'] = self.type
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('AdvancedConfig') is not None:
            temp_model = RecognizeAllTextRequestAdvancedConfig()
            self.advanced_config = temp_model.from_map(m['AdvancedConfig'])
        if m.get('IdCardConfig') is not None:
            temp_model = RecognizeAllTextRequestIdCardConfig()
            self.id_card_config = temp_model.from_map(m['IdCardConfig'])
        if m.get('InternationalBusinessLicenseConfig') is not None:
            temp_model = RecognizeAllTextRequestInternationalBusinessLicenseConfig()
            self.international_business_license_config = temp_model.from_map(m['InternationalBusinessLicenseConfig'])
        if m.get('InternationalIdCardConfig') is not None:
            temp_model = RecognizeAllTextRequestInternationalIdCardConfig()
            self.international_id_card_config = temp_model.from_map(m['InternationalIdCardConfig'])
        if m.get('MultiLanConfig') is not None:
            temp_model = RecognizeAllTextRequestMultiLanConfig()
            self.multi_lan_config = temp_model.from_map(m['MultiLanConfig'])
        if m.get('OutputBarCode') is not None:
            self.output_bar_code = m.get('OutputBarCode')
        if m.get('OutputCoordinate') is not None:
            self.output_coordinate = m.get('OutputCoordinate')
        if m.get('OutputFigure') is not None:
            self.output_figure = m.get('OutputFigure')
        if m.get('OutputKVExcel') is not None:
            self.output_kvexcel = m.get('OutputKVExcel')
        if m.get('OutputOricoord') is not None:
            self.output_oricoord = m.get('OutputOricoord')
        if m.get('OutputQrcode') is not None:
            self.output_qrcode = m.get('OutputQrcode')
        if m.get('OutputStamp') is not None:
            self.output_stamp = m.get('OutputStamp')
        if m.get('PageNo') is not None:
            self.page_no = m.get('PageNo')
        if m.get('TableConfig') is not None:
            temp_model = RecognizeAllTextRequestTableConfig()
            self.table_config = temp_model.from_map(m['TableConfig'])
        if m.get('Type') is not None:
            self.type = m.get('Type')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeAllTextShrinkRequest(TeaModel):
    def __init__(
        self,
        advanced_config_shrink: str = None,
        id_card_config_shrink: str = None,
        international_business_license_config_shrink: str = None,
        international_id_card_config_shrink: str = None,
        multi_lan_config_shrink: str = None,
        output_bar_code: bool = None,
        output_coordinate: str = None,
        output_figure: bool = None,
        output_kvexcel: bool = None,
        output_oricoord: bool = None,
        output_qrcode: bool = None,
        output_stamp: bool = None,
        page_no: int = None,
        table_config_shrink: str = None,
        type: str = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.advanced_config_shrink = advanced_config_shrink
        self.id_card_config_shrink = id_card_config_shrink
        self.international_business_license_config_shrink = international_business_license_config_shrink
        self.international_id_card_config_shrink = international_id_card_config_shrink
        self.multi_lan_config_shrink = multi_lan_config_shrink
        self.output_bar_code = output_bar_code
        self.output_coordinate = output_coordinate
        self.output_figure = output_figure
        self.output_kvexcel = output_kvexcel
        self.output_oricoord = output_oricoord
        self.output_qrcode = output_qrcode
        self.output_stamp = output_stamp
        self.page_no = page_no
        self.table_config_shrink = table_config_shrink
        # This parameter is required.
        self.type = type
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.advanced_config_shrink is not None:
            result['AdvancedConfig'] = self.advanced_config_shrink
        if self.id_card_config_shrink is not None:
            result['IdCardConfig'] = self.id_card_config_shrink
        if self.international_business_license_config_shrink is not None:
            result['InternationalBusinessLicenseConfig'] = self.international_business_license_config_shrink
        if self.international_id_card_config_shrink is not None:
            result['InternationalIdCardConfig'] = self.international_id_card_config_shrink
        if self.multi_lan_config_shrink is not None:
            result['MultiLanConfig'] = self.multi_lan_config_shrink
        if self.output_bar_code is not None:
            result['OutputBarCode'] = self.output_bar_code
        if self.output_coordinate is not None:
            result['OutputCoordinate'] = self.output_coordinate
        if self.output_figure is not None:
            result['OutputFigure'] = self.output_figure
        if self.output_kvexcel is not None:
            result['OutputKVExcel'] = self.output_kvexcel
        if self.output_oricoord is not None:
            result['OutputOricoord'] = self.output_oricoord
        if self.output_qrcode is not None:
            result['OutputQrcode'] = self.output_qrcode
        if self.output_stamp is not None:
            result['OutputStamp'] = self.output_stamp
        if self.page_no is not None:
            result['PageNo'] = self.page_no
        if self.table_config_shrink is not None:
            result['TableConfig'] = self.table_config_shrink
        if self.type is not None:
            result['Type'] = self.type
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('AdvancedConfig') is not None:
            self.advanced_config_shrink = m.get('AdvancedConfig')
        if m.get('IdCardConfig') is not None:
            self.id_card_config_shrink = m.get('IdCardConfig')
        if m.get('InternationalBusinessLicenseConfig') is not None:
            self.international_business_license_config_shrink = m.get('InternationalBusinessLicenseConfig')
        if m.get('InternationalIdCardConfig') is not None:
            self.international_id_card_config_shrink = m.get('InternationalIdCardConfig')
        if m.get('MultiLanConfig') is not None:
            self.multi_lan_config_shrink = m.get('MultiLanConfig')
        if m.get('OutputBarCode') is not None:
            self.output_bar_code = m.get('OutputBarCode')
        if m.get('OutputCoordinate') is not None:
            self.output_coordinate = m.get('OutputCoordinate')
        if m.get('OutputFigure') is not None:
            self.output_figure = m.get('OutputFigure')
        if m.get('OutputKVExcel') is not None:
            self.output_kvexcel = m.get('OutputKVExcel')
        if m.get('OutputOricoord') is not None:
            self.output_oricoord = m.get('OutputOricoord')
        if m.get('OutputQrcode') is not None:
            self.output_qrcode = m.get('OutputQrcode')
        if m.get('OutputStamp') is not None:
            self.output_stamp = m.get('OutputStamp')
        if m.get('PageNo') is not None:
            self.page_no = m.get('PageNo')
        if m.get('TableConfig') is not None:
            self.table_config_shrink = m.get('TableConfig')
        if m.get('Type') is not None:
            self.type = m.get('Type')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeAllTextResponseBodyDataSubImagesBarCodeInfoBarCodeDetailsBarCodePoints(TeaModel):
    def __init__(
        self,
        x: int = None,
        y: int = None,
    ):
        self.x = x
        self.y = y

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.x is not None:
            result['X'] = self.x
        if self.y is not None:
            result['Y'] = self.y
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('X') is not None:
            self.x = m.get('X')
        if m.get('Y') is not None:
            self.y = m.get('Y')
        return self


class RecognizeAllTextResponseBodyDataSubImagesBarCodeInfoBarCodeDetailsBarCodeRect(TeaModel):
    def __init__(
        self,
        center_x: int = None,
        center_y: int = None,
        height: int = None,
        width: int = None,
    ):
        self.center_x = center_x
        self.center_y = center_y
        self.height = height
        self.width = width

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.center_x is not None:
            result['CenterX'] = self.center_x
        if self.center_y is not None:
            result['CenterY'] = self.center_y
        if self.height is not None:
            result['Height'] = self.height
        if self.width is not None:
            result['Width'] = self.width
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CenterX') is not None:
            self.center_x = m.get('CenterX')
        if m.get('CenterY') is not None:
            self.center_y = m.get('CenterY')
        if m.get('Height') is not None:
            self.height = m.get('Height')
        if m.get('Width') is not None:
            self.width = m.get('Width')
        return self


class RecognizeAllTextResponseBodyDataSubImagesBarCodeInfoBarCodeDetails(TeaModel):
    def __init__(
        self,
        bar_code_angle: int = None,
        bar_code_points: List[RecognizeAllTextResponseBodyDataSubImagesBarCodeInfoBarCodeDetailsBarCodePoints] = None,
        bar_code_rect: RecognizeAllTextResponseBodyDataSubImagesBarCodeInfoBarCodeDetailsBarCodeRect = None,
        data: Any = None,
        type: str = None,
    ):
        self.bar_code_angle = bar_code_angle
        self.bar_code_points = bar_code_points
        self.bar_code_rect = bar_code_rect
        self.data = data
        self.type = type

    def validate(self):
        if self.bar_code_points:
            for k in self.bar_code_points:
                if k:
                    k.validate()
        if self.bar_code_rect:
            self.bar_code_rect.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.bar_code_angle is not None:
            result['BarCodeAngle'] = self.bar_code_angle
        result['BarCodePoints'] = []
        if self.bar_code_points is not None:
            for k in self.bar_code_points:
                result['BarCodePoints'].append(k.to_map() if k else None)
        if self.bar_code_rect is not None:
            result['BarCodeRect'] = self.bar_code_rect.to_map()
        if self.data is not None:
            result['Data'] = self.data
        if self.type is not None:
            result['Type'] = self.type
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('BarCodeAngle') is not None:
            self.bar_code_angle = m.get('BarCodeAngle')
        self.bar_code_points = []
        if m.get('BarCodePoints') is not None:
            for k in m.get('BarCodePoints'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesBarCodeInfoBarCodeDetailsBarCodePoints()
                self.bar_code_points.append(temp_model.from_map(k))
        if m.get('BarCodeRect') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesBarCodeInfoBarCodeDetailsBarCodeRect()
            self.bar_code_rect = temp_model.from_map(m['BarCodeRect'])
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Type') is not None:
            self.type = m.get('Type')
        return self


class RecognizeAllTextResponseBodyDataSubImagesBarCodeInfo(TeaModel):
    def __init__(
        self,
        bar_code_count: int = None,
        bar_code_details: List[RecognizeAllTextResponseBodyDataSubImagesBarCodeInfoBarCodeDetails] = None,
    ):
        self.bar_code_count = bar_code_count
        self.bar_code_details = bar_code_details

    def validate(self):
        if self.bar_code_details:
            for k in self.bar_code_details:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.bar_code_count is not None:
            result['BarCodeCount'] = self.bar_code_count
        result['BarCodeDetails'] = []
        if self.bar_code_details is not None:
            for k in self.bar_code_details:
                result['BarCodeDetails'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('BarCodeCount') is not None:
            self.bar_code_count = m.get('BarCodeCount')
        self.bar_code_details = []
        if m.get('BarCodeDetails') is not None:
            for k in m.get('BarCodeDetails'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesBarCodeInfoBarCodeDetails()
                self.bar_code_details.append(temp_model.from_map(k))
        return self


class RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsBlockPoints(TeaModel):
    def __init__(
        self,
        x: int = None,
        y: int = None,
    ):
        self.x = x
        self.y = y

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.x is not None:
            result['X'] = self.x
        if self.y is not None:
            result['Y'] = self.y
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('X') is not None:
            self.x = m.get('X')
        if m.get('Y') is not None:
            self.y = m.get('Y')
        return self


class RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsBlockRect(TeaModel):
    def __init__(
        self,
        center_x: int = None,
        center_y: int = None,
        height: int = None,
        width: int = None,
    ):
        self.center_x = center_x
        self.center_y = center_y
        self.height = height
        self.width = width

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.center_x is not None:
            result['CenterX'] = self.center_x
        if self.center_y is not None:
            result['CenterY'] = self.center_y
        if self.height is not None:
            result['Height'] = self.height
        if self.width is not None:
            result['Width'] = self.width
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CenterX') is not None:
            self.center_x = m.get('CenterX')
        if m.get('CenterY') is not None:
            self.center_y = m.get('CenterY')
        if m.get('Height') is not None:
            self.height = m.get('Height')
        if m.get('Width') is not None:
            self.width = m.get('Width')
        return self


class RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsCharInfosCharPoints(TeaModel):
    def __init__(
        self,
        x: int = None,
        y: int = None,
    ):
        self.x = x
        self.y = y

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.x is not None:
            result['X'] = self.x
        if self.y is not None:
            result['Y'] = self.y
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('X') is not None:
            self.x = m.get('X')
        if m.get('Y') is not None:
            self.y = m.get('Y')
        return self


class RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsCharInfosCharRect(TeaModel):
    def __init__(
        self,
        center_x: int = None,
        center_y: int = None,
        height: int = None,
        width: int = None,
    ):
        self.center_x = center_x
        self.center_y = center_y
        self.height = height
        self.width = width

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.center_x is not None:
            result['CenterX'] = self.center_x
        if self.center_y is not None:
            result['CenterY'] = self.center_y
        if self.height is not None:
            result['Height'] = self.height
        if self.width is not None:
            result['Width'] = self.width
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CenterX') is not None:
            self.center_x = m.get('CenterX')
        if m.get('CenterY') is not None:
            self.center_y = m.get('CenterY')
        if m.get('Height') is not None:
            self.height = m.get('Height')
        if m.get('Width') is not None:
            self.width = m.get('Width')
        return self


class RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsCharInfos(TeaModel):
    def __init__(
        self,
        char_confidence: int = None,
        char_content: str = None,
        char_id: int = None,
        char_points: List[RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsCharInfosCharPoints] = None,
        char_rect: RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsCharInfosCharRect = None,
    ):
        self.char_confidence = char_confidence
        self.char_content = char_content
        self.char_id = char_id
        self.char_points = char_points
        self.char_rect = char_rect

    def validate(self):
        if self.char_points:
            for k in self.char_points:
                if k:
                    k.validate()
        if self.char_rect:
            self.char_rect.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.char_confidence is not None:
            result['CharConfidence'] = self.char_confidence
        if self.char_content is not None:
            result['CharContent'] = self.char_content
        if self.char_id is not None:
            result['CharId'] = self.char_id
        result['CharPoints'] = []
        if self.char_points is not None:
            for k in self.char_points:
                result['CharPoints'].append(k.to_map() if k else None)
        if self.char_rect is not None:
            result['CharRect'] = self.char_rect.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CharConfidence') is not None:
            self.char_confidence = m.get('CharConfidence')
        if m.get('CharContent') is not None:
            self.char_content = m.get('CharContent')
        if m.get('CharId') is not None:
            self.char_id = m.get('CharId')
        self.char_points = []
        if m.get('CharPoints') is not None:
            for k in m.get('CharPoints'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsCharInfosCharPoints()
                self.char_points.append(temp_model.from_map(k))
        if m.get('CharRect') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsCharInfosCharRect()
            self.char_rect = temp_model.from_map(m['CharRect'])
        return self


class RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetails(TeaModel):
    def __init__(
        self,
        block_angle: int = None,
        block_confidence: int = None,
        block_content: str = None,
        block_id: int = None,
        block_points: List[RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsBlockPoints] = None,
        block_rect: RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsBlockRect = None,
        char_infos: List[RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsCharInfos] = None,
    ):
        self.block_angle = block_angle
        self.block_confidence = block_confidence
        self.block_content = block_content
        self.block_id = block_id
        self.block_points = block_points
        self.block_rect = block_rect
        self.char_infos = char_infos

    def validate(self):
        if self.block_points:
            for k in self.block_points:
                if k:
                    k.validate()
        if self.block_rect:
            self.block_rect.validate()
        if self.char_infos:
            for k in self.char_infos:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.block_angle is not None:
            result['BlockAngle'] = self.block_angle
        if self.block_confidence is not None:
            result['BlockConfidence'] = self.block_confidence
        if self.block_content is not None:
            result['BlockContent'] = self.block_content
        if self.block_id is not None:
            result['BlockId'] = self.block_id
        result['BlockPoints'] = []
        if self.block_points is not None:
            for k in self.block_points:
                result['BlockPoints'].append(k.to_map() if k else None)
        if self.block_rect is not None:
            result['BlockRect'] = self.block_rect.to_map()
        result['CharInfos'] = []
        if self.char_infos is not None:
            for k in self.char_infos:
                result['CharInfos'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('BlockAngle') is not None:
            self.block_angle = m.get('BlockAngle')
        if m.get('BlockConfidence') is not None:
            self.block_confidence = m.get('BlockConfidence')
        if m.get('BlockContent') is not None:
            self.block_content = m.get('BlockContent')
        if m.get('BlockId') is not None:
            self.block_id = m.get('BlockId')
        self.block_points = []
        if m.get('BlockPoints') is not None:
            for k in m.get('BlockPoints'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsBlockPoints()
                self.block_points.append(temp_model.from_map(k))
        if m.get('BlockRect') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsBlockRect()
            self.block_rect = temp_model.from_map(m['BlockRect'])
        self.char_infos = []
        if m.get('CharInfos') is not None:
            for k in m.get('CharInfos'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetailsCharInfos()
                self.char_infos.append(temp_model.from_map(k))
        return self


class RecognizeAllTextResponseBodyDataSubImagesBlockInfo(TeaModel):
    def __init__(
        self,
        block_count: int = None,
        block_details: List[RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetails] = None,
    ):
        self.block_count = block_count
        self.block_details = block_details

    def validate(self):
        if self.block_details:
            for k in self.block_details:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.block_count is not None:
            result['BlockCount'] = self.block_count
        result['BlockDetails'] = []
        if self.block_details is not None:
            for k in self.block_details:
                result['BlockDetails'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('BlockCount') is not None:
            self.block_count = m.get('BlockCount')
        self.block_details = []
        if m.get('BlockDetails') is not None:
            for k in m.get('BlockDetails'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesBlockInfoBlockDetails()
                self.block_details.append(temp_model.from_map(k))
        return self


class RecognizeAllTextResponseBodyDataSubImagesKvInfo(TeaModel):
    def __init__(
        self,
        data: Any = None,
        kv_count: int = None,
        kv_details: Dict[str, DataSubImagesKvInfoKvDetailsValue] = None,
    ):
        self.data = data
        self.kv_count = kv_count
        self.kv_details = kv_details

    def validate(self):
        if self.kv_details:
            for v in self.kv_details.values():
                if v:
                    v.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.data is not None:
            result['Data'] = self.data
        if self.kv_count is not None:
            result['KvCount'] = self.kv_count
        result['KvDetails'] = {}
        if self.kv_details is not None:
            for k, v in self.kv_details.items():
                result['KvDetails'][k] = v.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('KvCount') is not None:
            self.kv_count = m.get('KvCount')
        self.kv_details = {}
        if m.get('KvDetails') is not None:
            for k, v in m.get('KvDetails').items():
                temp_model = DataSubImagesKvInfoKvDetailsValue()
                self.kv_details[k] = temp_model.from_map(v)
        return self


class RecognizeAllTextResponseBodyDataSubImagesParagraphInfoParagraphDetails(TeaModel):
    def __init__(
        self,
        block_list: List[int] = None,
        paragraph_content: str = None,
        paragraph_id: int = None,
    ):
        self.block_list = block_list
        self.paragraph_content = paragraph_content
        self.paragraph_id = paragraph_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.block_list is not None:
            result['BlockList'] = self.block_list
        if self.paragraph_content is not None:
            result['ParagraphContent'] = self.paragraph_content
        if self.paragraph_id is not None:
            result['ParagraphId'] = self.paragraph_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('BlockList') is not None:
            self.block_list = m.get('BlockList')
        if m.get('ParagraphContent') is not None:
            self.paragraph_content = m.get('ParagraphContent')
        if m.get('ParagraphId') is not None:
            self.paragraph_id = m.get('ParagraphId')
        return self


class RecognizeAllTextResponseBodyDataSubImagesParagraphInfo(TeaModel):
    def __init__(
        self,
        paragraph_count: int = None,
        paragraph_details: List[RecognizeAllTextResponseBodyDataSubImagesParagraphInfoParagraphDetails] = None,
    ):
        self.paragraph_count = paragraph_count
        self.paragraph_details = paragraph_details

    def validate(self):
        if self.paragraph_details:
            for k in self.paragraph_details:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.paragraph_count is not None:
            result['ParagraphCount'] = self.paragraph_count
        result['ParagraphDetails'] = []
        if self.paragraph_details is not None:
            for k in self.paragraph_details:
                result['ParagraphDetails'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('ParagraphCount') is not None:
            self.paragraph_count = m.get('ParagraphCount')
        self.paragraph_details = []
        if m.get('ParagraphDetails') is not None:
            for k in m.get('ParagraphDetails'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesParagraphInfoParagraphDetails()
                self.paragraph_details.append(temp_model.from_map(k))
        return self


class RecognizeAllTextResponseBodyDataSubImagesQrCodeInfoQrCodeDetailsQrCodePoints(TeaModel):
    def __init__(
        self,
        x: int = None,
        y: int = None,
    ):
        self.x = x
        self.y = y

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.x is not None:
            result['X'] = self.x
        if self.y is not None:
            result['Y'] = self.y
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('X') is not None:
            self.x = m.get('X')
        if m.get('Y') is not None:
            self.y = m.get('Y')
        return self


class RecognizeAllTextResponseBodyDataSubImagesQrCodeInfoQrCodeDetailsQrCodeRect(TeaModel):
    def __init__(
        self,
        center_x: int = None,
        center_y: int = None,
        height: int = None,
        width: int = None,
    ):
        self.center_x = center_x
        self.center_y = center_y
        self.height = height
        self.width = width

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.center_x is not None:
            result['CenterX'] = self.center_x
        if self.center_y is not None:
            result['CenterY'] = self.center_y
        if self.height is not None:
            result['Height'] = self.height
        if self.width is not None:
            result['Width'] = self.width
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CenterX') is not None:
            self.center_x = m.get('CenterX')
        if m.get('CenterY') is not None:
            self.center_y = m.get('CenterY')
        if m.get('Height') is not None:
            self.height = m.get('Height')
        if m.get('Width') is not None:
            self.width = m.get('Width')
        return self


class RecognizeAllTextResponseBodyDataSubImagesQrCodeInfoQrCodeDetails(TeaModel):
    def __init__(
        self,
        data: Any = None,
        qr_code_angle: int = None,
        qr_code_points: List[RecognizeAllTextResponseBodyDataSubImagesQrCodeInfoQrCodeDetailsQrCodePoints] = None,
        qr_code_rect: RecognizeAllTextResponseBodyDataSubImagesQrCodeInfoQrCodeDetailsQrCodeRect = None,
    ):
        self.data = data
        self.qr_code_angle = qr_code_angle
        self.qr_code_points = qr_code_points
        self.qr_code_rect = qr_code_rect

    def validate(self):
        if self.qr_code_points:
            for k in self.qr_code_points:
                if k:
                    k.validate()
        if self.qr_code_rect:
            self.qr_code_rect.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.data is not None:
            result['Data'] = self.data
        if self.qr_code_angle is not None:
            result['QrCodeAngle'] = self.qr_code_angle
        result['QrCodePoints'] = []
        if self.qr_code_points is not None:
            for k in self.qr_code_points:
                result['QrCodePoints'].append(k.to_map() if k else None)
        if self.qr_code_rect is not None:
            result['QrCodeRect'] = self.qr_code_rect.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('QrCodeAngle') is not None:
            self.qr_code_angle = m.get('QrCodeAngle')
        self.qr_code_points = []
        if m.get('QrCodePoints') is not None:
            for k in m.get('QrCodePoints'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesQrCodeInfoQrCodeDetailsQrCodePoints()
                self.qr_code_points.append(temp_model.from_map(k))
        if m.get('QrCodeRect') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesQrCodeInfoQrCodeDetailsQrCodeRect()
            self.qr_code_rect = temp_model.from_map(m['QrCodeRect'])
        return self


class RecognizeAllTextResponseBodyDataSubImagesQrCodeInfo(TeaModel):
    def __init__(
        self,
        qr_code_count: int = None,
        qr_code_details: List[RecognizeAllTextResponseBodyDataSubImagesQrCodeInfoQrCodeDetails] = None,
    ):
        self.qr_code_count = qr_code_count
        self.qr_code_details = qr_code_details

    def validate(self):
        if self.qr_code_details:
            for k in self.qr_code_details:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.qr_code_count is not None:
            result['QrCodeCount'] = self.qr_code_count
        result['QrCodeDetails'] = []
        if self.qr_code_details is not None:
            for k in self.qr_code_details:
                result['QrCodeDetails'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('QrCodeCount') is not None:
            self.qr_code_count = m.get('QrCodeCount')
        self.qr_code_details = []
        if m.get('QrCodeDetails') is not None:
            for k in m.get('QrCodeDetails'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesQrCodeInfoQrCodeDetails()
                self.qr_code_details.append(temp_model.from_map(k))
        return self


class RecognizeAllTextResponseBodyDataSubImagesQualityInfo(TeaModel):
    def __init__(
        self,
        completeness_score: float = None,
        is_copy: bool = None,
        is_reshoot: bool = None,
        quality_score: float = None,
        tamper_score: float = None,
    ):
        self.completeness_score = completeness_score
        self.is_copy = is_copy
        self.is_reshoot = is_reshoot
        self.quality_score = quality_score
        self.tamper_score = tamper_score

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.completeness_score is not None:
            result['CompletenessScore'] = self.completeness_score
        if self.is_copy is not None:
            result['IsCopy'] = self.is_copy
        if self.is_reshoot is not None:
            result['IsReshoot'] = self.is_reshoot
        if self.quality_score is not None:
            result['QualityScore'] = self.quality_score
        if self.tamper_score is not None:
            result['TamperScore'] = self.tamper_score
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CompletenessScore') is not None:
            self.completeness_score = m.get('CompletenessScore')
        if m.get('IsCopy') is not None:
            self.is_copy = m.get('IsCopy')
        if m.get('IsReshoot') is not None:
            self.is_reshoot = m.get('IsReshoot')
        if m.get('QualityScore') is not None:
            self.quality_score = m.get('QualityScore')
        if m.get('TamperScore') is not None:
            self.tamper_score = m.get('TamperScore')
        return self


class RecognizeAllTextResponseBodyDataSubImagesRowInfoRowDetails(TeaModel):
    def __init__(
        self,
        block_list: List[int] = None,
        row_content: str = None,
        row_id: int = None,
    ):
        self.block_list = block_list
        self.row_content = row_content
        self.row_id = row_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.block_list is not None:
            result['BlockList'] = self.block_list
        if self.row_content is not None:
            result['RowContent'] = self.row_content
        if self.row_id is not None:
            result['RowId'] = self.row_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('BlockList') is not None:
            self.block_list = m.get('BlockList')
        if m.get('RowContent') is not None:
            self.row_content = m.get('RowContent')
        if m.get('RowId') is not None:
            self.row_id = m.get('RowId')
        return self


class RecognizeAllTextResponseBodyDataSubImagesRowInfo(TeaModel):
    def __init__(
        self,
        row_count: int = None,
        row_details: List[RecognizeAllTextResponseBodyDataSubImagesRowInfoRowDetails] = None,
    ):
        self.row_count = row_count
        self.row_details = row_details

    def validate(self):
        if self.row_details:
            for k in self.row_details:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.row_count is not None:
            result['RowCount'] = self.row_count
        result['RowDetails'] = []
        if self.row_details is not None:
            for k in self.row_details:
                result['RowDetails'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('RowCount') is not None:
            self.row_count = m.get('RowCount')
        self.row_details = []
        if m.get('RowDetails') is not None:
            for k in m.get('RowDetails'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesRowInfoRowDetails()
                self.row_details.append(temp_model.from_map(k))
        return self


class RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetailsData(TeaModel):
    def __init__(
        self,
        anti_fake_code: str = None,
        company_id: str = None,
        organization_name: str = None,
        organization_name_eng: str = None,
        other_text: str = None,
        taxpayer_id: str = None,
        top_text: str = None,
    ):
        self.anti_fake_code = anti_fake_code
        self.company_id = company_id
        self.organization_name = organization_name
        self.organization_name_eng = organization_name_eng
        self.other_text = other_text
        self.taxpayer_id = taxpayer_id
        self.top_text = top_text

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.anti_fake_code is not None:
            result['AntiFakeCode'] = self.anti_fake_code
        if self.company_id is not None:
            result['CompanyId'] = self.company_id
        if self.organization_name is not None:
            result['OrganizationName'] = self.organization_name
        if self.organization_name_eng is not None:
            result['OrganizationNameEng'] = self.organization_name_eng
        if self.other_text is not None:
            result['OtherText'] = self.other_text
        if self.taxpayer_id is not None:
            result['TaxpayerId'] = self.taxpayer_id
        if self.top_text is not None:
            result['TopText'] = self.top_text
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('AntiFakeCode') is not None:
            self.anti_fake_code = m.get('AntiFakeCode')
        if m.get('CompanyId') is not None:
            self.company_id = m.get('CompanyId')
        if m.get('OrganizationName') is not None:
            self.organization_name = m.get('OrganizationName')
        if m.get('OrganizationNameEng') is not None:
            self.organization_name_eng = m.get('OrganizationNameEng')
        if m.get('OtherText') is not None:
            self.other_text = m.get('OtherText')
        if m.get('TaxpayerId') is not None:
            self.taxpayer_id = m.get('TaxpayerId')
        if m.get('TopText') is not None:
            self.top_text = m.get('TopText')
        return self


class RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetailsStampPoints(TeaModel):
    def __init__(
        self,
        x: int = None,
        y: int = None,
    ):
        self.x = x
        self.y = y

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.x is not None:
            result['X'] = self.x
        if self.y is not None:
            result['Y'] = self.y
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('X') is not None:
            self.x = m.get('X')
        if m.get('Y') is not None:
            self.y = m.get('Y')
        return self


class RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetailsStampRect(TeaModel):
    def __init__(
        self,
        center_x: int = None,
        center_y: int = None,
        height: int = None,
        width: int = None,
    ):
        self.center_x = center_x
        self.center_y = center_y
        self.height = height
        self.width = width

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.center_x is not None:
            result['CenterX'] = self.center_x
        if self.center_y is not None:
            result['CenterY'] = self.center_y
        if self.height is not None:
            result['Height'] = self.height
        if self.width is not None:
            result['Width'] = self.width
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CenterX') is not None:
            self.center_x = m.get('CenterX')
        if m.get('CenterY') is not None:
            self.center_y = m.get('CenterY')
        if m.get('Height') is not None:
            self.height = m.get('Height')
        if m.get('Width') is not None:
            self.width = m.get('Width')
        return self


class RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetails(TeaModel):
    def __init__(
        self,
        data: RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetailsData = None,
        stamp_angle: int = None,
        stamp_points: List[RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetailsStampPoints] = None,
        stamp_rect: RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetailsStampRect = None,
    ):
        self.data = data
        self.stamp_angle = stamp_angle
        self.stamp_points = stamp_points
        self.stamp_rect = stamp_rect

    def validate(self):
        if self.data:
            self.data.validate()
        if self.stamp_points:
            for k in self.stamp_points:
                if k:
                    k.validate()
        if self.stamp_rect:
            self.stamp_rect.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.data is not None:
            result['Data'] = self.data.to_map()
        if self.stamp_angle is not None:
            result['StampAngle'] = self.stamp_angle
        result['StampPoints'] = []
        if self.stamp_points is not None:
            for k in self.stamp_points:
                result['StampPoints'].append(k.to_map() if k else None)
        if self.stamp_rect is not None:
            result['StampRect'] = self.stamp_rect.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Data') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetailsData()
            self.data = temp_model.from_map(m['Data'])
        if m.get('StampAngle') is not None:
            self.stamp_angle = m.get('StampAngle')
        self.stamp_points = []
        if m.get('StampPoints') is not None:
            for k in m.get('StampPoints'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetailsStampPoints()
                self.stamp_points.append(temp_model.from_map(k))
        if m.get('StampRect') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetailsStampRect()
            self.stamp_rect = temp_model.from_map(m['StampRect'])
        return self


class RecognizeAllTextResponseBodyDataSubImagesStampInfo(TeaModel):
    def __init__(
        self,
        stamp_count: int = None,
        stamp_details: List[RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetails] = None,
    ):
        self.stamp_count = stamp_count
        self.stamp_details = stamp_details

    def validate(self):
        if self.stamp_details:
            for k in self.stamp_details:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.stamp_count is not None:
            result['StampCount'] = self.stamp_count
        result['StampDetails'] = []
        if self.stamp_details is not None:
            for k in self.stamp_details:
                result['StampDetails'].append(k.to_map() if k else None)
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('StampCount') is not None:
            self.stamp_count = m.get('StampCount')
        self.stamp_details = []
        if m.get('StampDetails') is not None:
            for k in m.get('StampDetails'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesStampInfoStampDetails()
                self.stamp_details.append(temp_model.from_map(k))
        return self


class RecognizeAllTextResponseBodyDataSubImagesSubImagePoints(TeaModel):
    def __init__(
        self,
        x: int = None,
        y: int = None,
    ):
        self.x = x
        self.y = y

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.x is not None:
            result['X'] = self.x
        if self.y is not None:
            result['Y'] = self.y
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('X') is not None:
            self.x = m.get('X')
        if m.get('Y') is not None:
            self.y = m.get('Y')
        return self


class RecognizeAllTextResponseBodyDataSubImagesSubImageRect(TeaModel):
    def __init__(
        self,
        center_x: int = None,
        center_y: int = None,
        height: int = None,
        width: int = None,
    ):
        self.center_x = center_x
        self.center_y = center_y
        self.height = height
        self.width = width

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.center_x is not None:
            result['CenterX'] = self.center_x
        if self.center_y is not None:
            result['CenterY'] = self.center_y
        if self.height is not None:
            result['Height'] = self.height
        if self.width is not None:
            result['Width'] = self.width
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CenterX') is not None:
            self.center_x = m.get('CenterX')
        if m.get('CenterY') is not None:
            self.center_y = m.get('CenterY')
        if m.get('Height') is not None:
            self.height = m.get('Height')
        if m.get('Width') is not None:
            self.width = m.get('Width')
        return self


class RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsCellDetailsCellPoints(TeaModel):
    def __init__(
        self,
        x: int = None,
        y: int = None,
    ):
        self.x = x
        self.y = y

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.x is not None:
            result['X'] = self.x
        if self.y is not None:
            result['Y'] = self.y
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('X') is not None:
            self.x = m.get('X')
        if m.get('Y') is not None:
            self.y = m.get('Y')
        return self


class RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsCellDetailsCellRect(TeaModel):
    def __init__(
        self,
        center_x: int = None,
        center_y: int = None,
        height: int = None,
        width: int = None,
    ):
        self.center_x = center_x
        self.center_y = center_y
        self.height = height
        self.width = width

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.center_x is not None:
            result['CenterX'] = self.center_x
        if self.center_y is not None:
            result['CenterY'] = self.center_y
        if self.height is not None:
            result['Height'] = self.height
        if self.width is not None:
            result['Width'] = self.width
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CenterX') is not None:
            self.center_x = m.get('CenterX')
        if m.get('CenterY') is not None:
            self.center_y = m.get('CenterY')
        if m.get('Height') is not None:
            self.height = m.get('Height')
        if m.get('Width') is not None:
            self.width = m.get('Width')
        return self


class RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsCellDetails(TeaModel):
    def __init__(
        self,
        block_list: List[int] = None,
        cell_angle: int = None,
        cell_content: str = None,
        cell_id: int = None,
        cell_points: List[RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsCellDetailsCellPoints] = None,
        cell_rect: RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsCellDetailsCellRect = None,
        column_end: int = None,
        column_start: int = None,
        row_end: int = None,
        row_start: int = None,
    ):
        self.block_list = block_list
        self.cell_angle = cell_angle
        self.cell_content = cell_content
        self.cell_id = cell_id
        self.cell_points = cell_points
        self.cell_rect = cell_rect
        self.column_end = column_end
        self.column_start = column_start
        self.row_end = row_end
        self.row_start = row_start

    def validate(self):
        if self.cell_points:
            for k in self.cell_points:
                if k:
                    k.validate()
        if self.cell_rect:
            self.cell_rect.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.block_list is not None:
            result['BlockList'] = self.block_list
        if self.cell_angle is not None:
            result['CellAngle'] = self.cell_angle
        if self.cell_content is not None:
            result['CellContent'] = self.cell_content
        if self.cell_id is not None:
            result['CellId'] = self.cell_id
        result['CellPoints'] = []
        if self.cell_points is not None:
            for k in self.cell_points:
                result['CellPoints'].append(k.to_map() if k else None)
        if self.cell_rect is not None:
            result['CellRect'] = self.cell_rect.to_map()
        if self.column_end is not None:
            result['ColumnEnd'] = self.column_end
        if self.column_start is not None:
            result['ColumnStart'] = self.column_start
        if self.row_end is not None:
            result['RowEnd'] = self.row_end
        if self.row_start is not None:
            result['RowStart'] = self.row_start
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('BlockList') is not None:
            self.block_list = m.get('BlockList')
        if m.get('CellAngle') is not None:
            self.cell_angle = m.get('CellAngle')
        if m.get('CellContent') is not None:
            self.cell_content = m.get('CellContent')
        if m.get('CellId') is not None:
            self.cell_id = m.get('CellId')
        self.cell_points = []
        if m.get('CellPoints') is not None:
            for k in m.get('CellPoints'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsCellDetailsCellPoints()
                self.cell_points.append(temp_model.from_map(k))
        if m.get('CellRect') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsCellDetailsCellRect()
            self.cell_rect = temp_model.from_map(m['CellRect'])
        if m.get('ColumnEnd') is not None:
            self.column_end = m.get('ColumnEnd')
        if m.get('ColumnStart') is not None:
            self.column_start = m.get('ColumnStart')
        if m.get('RowEnd') is not None:
            self.row_end = m.get('RowEnd')
        if m.get('RowStart') is not None:
            self.row_start = m.get('RowStart')
        return self


class RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsFooter(TeaModel):
    def __init__(
        self,
        block_id: int = None,
        contents: List[str] = None,
    ):
        self.block_id = block_id
        self.contents = contents

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.block_id is not None:
            result['BlockId'] = self.block_id
        if self.contents is not None:
            result['Contents'] = self.contents
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('BlockId') is not None:
            self.block_id = m.get('BlockId')
        if m.get('Contents') is not None:
            self.contents = m.get('Contents')
        return self


class RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsHeader(TeaModel):
    def __init__(
        self,
        block_id: int = None,
        contents: List[str] = None,
    ):
        self.block_id = block_id
        self.contents = contents

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.block_id is not None:
            result['BlockId'] = self.block_id
        if self.contents is not None:
            result['Contents'] = self.contents
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('BlockId') is not None:
            self.block_id = m.get('BlockId')
        if m.get('Contents') is not None:
            self.contents = m.get('Contents')
        return self


class RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsTablePoints(TeaModel):
    def __init__(
        self,
        x: int = None,
        y: int = None,
    ):
        self.x = x
        self.y = y

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.x is not None:
            result['X'] = self.x
        if self.y is not None:
            result['Y'] = self.y
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('X') is not None:
            self.x = m.get('X')
        if m.get('Y') is not None:
            self.y = m.get('Y')
        return self


class RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsTableRect(TeaModel):
    def __init__(
        self,
        center_x: int = None,
        center_y: int = None,
        height: int = None,
        width: int = None,
    ):
        self.center_x = center_x
        self.center_y = center_y
        self.height = height
        self.width = width

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.center_x is not None:
            result['CenterX'] = self.center_x
        if self.center_y is not None:
            result['CenterY'] = self.center_y
        if self.height is not None:
            result['Height'] = self.height
        if self.width is not None:
            result['Width'] = self.width
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CenterX') is not None:
            self.center_x = m.get('CenterX')
        if m.get('CenterY') is not None:
            self.center_y = m.get('CenterY')
        if m.get('Height') is not None:
            self.height = m.get('Height')
        if m.get('Width') is not None:
            self.width = m.get('Width')
        return self


class RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetails(TeaModel):
    def __init__(
        self,
        cell_count: int = None,
        cell_details: List[RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsCellDetails] = None,
        column_count: int = None,
        footer: RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsFooter = None,
        header: RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsHeader = None,
        row_count: int = None,
        table_id: int = None,
        table_points: List[RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsTablePoints] = None,
        table_rect: RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsTableRect = None,
    ):
        self.cell_count = cell_count
        self.cell_details = cell_details
        self.column_count = column_count
        self.footer = footer
        self.header = header
        self.row_count = row_count
        self.table_id = table_id
        self.table_points = table_points
        self.table_rect = table_rect

    def validate(self):
        if self.cell_details:
            for k in self.cell_details:
                if k:
                    k.validate()
        if self.footer:
            self.footer.validate()
        if self.header:
            self.header.validate()
        if self.table_points:
            for k in self.table_points:
                if k:
                    k.validate()
        if self.table_rect:
            self.table_rect.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.cell_count is not None:
            result['CellCount'] = self.cell_count
        result['CellDetails'] = []
        if self.cell_details is not None:
            for k in self.cell_details:
                result['CellDetails'].append(k.to_map() if k else None)
        if self.column_count is not None:
            result['ColumnCount'] = self.column_count
        if self.footer is not None:
            result['Footer'] = self.footer.to_map()
        if self.header is not None:
            result['Header'] = self.header.to_map()
        if self.row_count is not None:
            result['RowCount'] = self.row_count
        if self.table_id is not None:
            result['TableId'] = self.table_id
        result['TablePoints'] = []
        if self.table_points is not None:
            for k in self.table_points:
                result['TablePoints'].append(k.to_map() if k else None)
        if self.table_rect is not None:
            result['TableRect'] = self.table_rect.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CellCount') is not None:
            self.cell_count = m.get('CellCount')
        self.cell_details = []
        if m.get('CellDetails') is not None:
            for k in m.get('CellDetails'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsCellDetails()
                self.cell_details.append(temp_model.from_map(k))
        if m.get('ColumnCount') is not None:
            self.column_count = m.get('ColumnCount')
        if m.get('Footer') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsFooter()
            self.footer = temp_model.from_map(m['Footer'])
        if m.get('Header') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsHeader()
            self.header = temp_model.from_map(m['Header'])
        if m.get('RowCount') is not None:
            self.row_count = m.get('RowCount')
        if m.get('TableId') is not None:
            self.table_id = m.get('TableId')
        self.table_points = []
        if m.get('TablePoints') is not None:
            for k in m.get('TablePoints'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsTablePoints()
                self.table_points.append(temp_model.from_map(k))
        if m.get('TableRect') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetailsTableRect()
            self.table_rect = temp_model.from_map(m['TableRect'])
        return self


class RecognizeAllTextResponseBodyDataSubImagesTableInfo(TeaModel):
    def __init__(
        self,
        table_count: int = None,
        table_details: List[RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetails] = None,
        table_excel: str = None,
        table_html: str = None,
    ):
        self.table_count = table_count
        self.table_details = table_details
        self.table_excel = table_excel
        self.table_html = table_html

    def validate(self):
        if self.table_details:
            for k in self.table_details:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.table_count is not None:
            result['TableCount'] = self.table_count
        result['TableDetails'] = []
        if self.table_details is not None:
            for k in self.table_details:
                result['TableDetails'].append(k.to_map() if k else None)
        if self.table_excel is not None:
            result['TableExcel'] = self.table_excel
        if self.table_html is not None:
            result['TableHtml'] = self.table_html
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('TableCount') is not None:
            self.table_count = m.get('TableCount')
        self.table_details = []
        if m.get('TableDetails') is not None:
            for k in m.get('TableDetails'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesTableInfoTableDetails()
                self.table_details.append(temp_model.from_map(k))
        if m.get('TableExcel') is not None:
            self.table_excel = m.get('TableExcel')
        if m.get('TableHtml') is not None:
            self.table_html = m.get('TableHtml')
        return self


class RecognizeAllTextResponseBodyDataSubImages(TeaModel):
    def __init__(
        self,
        angle: int = None,
        bar_code_info: RecognizeAllTextResponseBodyDataSubImagesBarCodeInfo = None,
        block_info: RecognizeAllTextResponseBodyDataSubImagesBlockInfo = None,
        figure_info: Dict[str, DataSubImagesFigureInfoValue] = None,
        kv_info: RecognizeAllTextResponseBodyDataSubImagesKvInfo = None,
        paragraph_info: RecognizeAllTextResponseBodyDataSubImagesParagraphInfo = None,
        qr_code_info: RecognizeAllTextResponseBodyDataSubImagesQrCodeInfo = None,
        quality_info: RecognizeAllTextResponseBodyDataSubImagesQualityInfo = None,
        row_info: RecognizeAllTextResponseBodyDataSubImagesRowInfo = None,
        stamp_info: RecognizeAllTextResponseBodyDataSubImagesStampInfo = None,
        sub_image_id: int = None,
        sub_image_points: List[RecognizeAllTextResponseBodyDataSubImagesSubImagePoints] = None,
        sub_image_rect: RecognizeAllTextResponseBodyDataSubImagesSubImageRect = None,
        table_info: RecognizeAllTextResponseBodyDataSubImagesTableInfo = None,
        type: str = None,
    ):
        self.angle = angle
        self.bar_code_info = bar_code_info
        self.block_info = block_info
        self.figure_info = figure_info
        self.kv_info = kv_info
        self.paragraph_info = paragraph_info
        self.qr_code_info = qr_code_info
        self.quality_info = quality_info
        self.row_info = row_info
        self.stamp_info = stamp_info
        self.sub_image_id = sub_image_id
        self.sub_image_points = sub_image_points
        self.sub_image_rect = sub_image_rect
        self.table_info = table_info
        self.type = type

    def validate(self):
        if self.bar_code_info:
            self.bar_code_info.validate()
        if self.block_info:
            self.block_info.validate()
        if self.figure_info:
            for v in self.figure_info.values():
                if v:
                    v.validate()
        if self.kv_info:
            self.kv_info.validate()
        if self.paragraph_info:
            self.paragraph_info.validate()
        if self.qr_code_info:
            self.qr_code_info.validate()
        if self.quality_info:
            self.quality_info.validate()
        if self.row_info:
            self.row_info.validate()
        if self.stamp_info:
            self.stamp_info.validate()
        if self.sub_image_points:
            for k in self.sub_image_points:
                if k:
                    k.validate()
        if self.sub_image_rect:
            self.sub_image_rect.validate()
        if self.table_info:
            self.table_info.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.angle is not None:
            result['Angle'] = self.angle
        if self.bar_code_info is not None:
            result['BarCodeInfo'] = self.bar_code_info.to_map()
        if self.block_info is not None:
            result['BlockInfo'] = self.block_info.to_map()
        result['FigureInfo'] = {}
        if self.figure_info is not None:
            for k, v in self.figure_info.items():
                result['FigureInfo'][k] = v.to_map()
        if self.kv_info is not None:
            result['KvInfo'] = self.kv_info.to_map()
        if self.paragraph_info is not None:
            result['ParagraphInfo'] = self.paragraph_info.to_map()
        if self.qr_code_info is not None:
            result['QrCodeInfo'] = self.qr_code_info.to_map()
        if self.quality_info is not None:
            result['QualityInfo'] = self.quality_info.to_map()
        if self.row_info is not None:
            result['RowInfo'] = self.row_info.to_map()
        if self.stamp_info is not None:
            result['StampInfo'] = self.stamp_info.to_map()
        if self.sub_image_id is not None:
            result['SubImageId'] = self.sub_image_id
        result['SubImagePoints'] = []
        if self.sub_image_points is not None:
            for k in self.sub_image_points:
                result['SubImagePoints'].append(k.to_map() if k else None)
        if self.sub_image_rect is not None:
            result['SubImageRect'] = self.sub_image_rect.to_map()
        if self.table_info is not None:
            result['TableInfo'] = self.table_info.to_map()
        if self.type is not None:
            result['Type'] = self.type
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Angle') is not None:
            self.angle = m.get('Angle')
        if m.get('BarCodeInfo') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesBarCodeInfo()
            self.bar_code_info = temp_model.from_map(m['BarCodeInfo'])
        if m.get('BlockInfo') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesBlockInfo()
            self.block_info = temp_model.from_map(m['BlockInfo'])
        self.figure_info = {}
        if m.get('FigureInfo') is not None:
            for k, v in m.get('FigureInfo').items():
                temp_model = DataSubImagesFigureInfoValue()
                self.figure_info[k] = temp_model.from_map(v)
        if m.get('KvInfo') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesKvInfo()
            self.kv_info = temp_model.from_map(m['KvInfo'])
        if m.get('ParagraphInfo') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesParagraphInfo()
            self.paragraph_info = temp_model.from_map(m['ParagraphInfo'])
        if m.get('QrCodeInfo') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesQrCodeInfo()
            self.qr_code_info = temp_model.from_map(m['QrCodeInfo'])
        if m.get('QualityInfo') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesQualityInfo()
            self.quality_info = temp_model.from_map(m['QualityInfo'])
        if m.get('RowInfo') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesRowInfo()
            self.row_info = temp_model.from_map(m['RowInfo'])
        if m.get('StampInfo') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesStampInfo()
            self.stamp_info = temp_model.from_map(m['StampInfo'])
        if m.get('SubImageId') is not None:
            self.sub_image_id = m.get('SubImageId')
        self.sub_image_points = []
        if m.get('SubImagePoints') is not None:
            for k in m.get('SubImagePoints'):
                temp_model = RecognizeAllTextResponseBodyDataSubImagesSubImagePoints()
                self.sub_image_points.append(temp_model.from_map(k))
        if m.get('SubImageRect') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesSubImageRect()
            self.sub_image_rect = temp_model.from_map(m['SubImageRect'])
        if m.get('TableInfo') is not None:
            temp_model = RecognizeAllTextResponseBodyDataSubImagesTableInfo()
            self.table_info = temp_model.from_map(m['TableInfo'])
        if m.get('Type') is not None:
            self.type = m.get('Type')
        return self


class RecognizeAllTextResponseBodyData(TeaModel):
    def __init__(
        self,
        algo_server: List[str] = None,
        algo_version: str = None,
        content: str = None,
        debug_info: Any = None,
        height: int = None,
        is_mixed_mode: bool = None,
        kv_excel_url: str = None,
        page_no: int = None,
        sub_image_count: int = None,
        sub_images: List[RecognizeAllTextResponseBodyDataSubImages] = None,
        width: int = None,
        xml_result: str = None,
    ):
        self.algo_server = algo_server
        self.algo_version = algo_version
        self.content = content
        self.debug_info = debug_info
        self.height = height
        self.is_mixed_mode = is_mixed_mode
        self.kv_excel_url = kv_excel_url
        self.page_no = page_no
        self.sub_image_count = sub_image_count
        self.sub_images = sub_images
        self.width = width
        self.xml_result = xml_result

    def validate(self):
        if self.sub_images:
            for k in self.sub_images:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.algo_server is not None:
            result['AlgoServer'] = self.algo_server
        if self.algo_version is not None:
            result['AlgoVersion'] = self.algo_version
        if self.content is not None:
            result['Content'] = self.content
        if self.debug_info is not None:
            result['DebugInfo'] = self.debug_info
        if self.height is not None:
            result['Height'] = self.height
        if self.is_mixed_mode is not None:
            result['IsMixedMode'] = self.is_mixed_mode
        if self.kv_excel_url is not None:
            result['KvExcelUrl'] = self.kv_excel_url
        if self.page_no is not None:
            result['PageNo'] = self.page_no
        if self.sub_image_count is not None:
            result['SubImageCount'] = self.sub_image_count
        result['SubImages'] = []
        if self.sub_images is not None:
            for k in self.sub_images:
                result['SubImages'].append(k.to_map() if k else None)
        if self.width is not None:
            result['Width'] = self.width
        if self.xml_result is not None:
            result['XmlResult'] = self.xml_result
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('AlgoServer') is not None:
            self.algo_server = m.get('AlgoServer')
        if m.get('AlgoVersion') is not None:
            self.algo_version = m.get('AlgoVersion')
        if m.get('Content') is not None:
            self.content = m.get('Content')
        if m.get('DebugInfo') is not None:
            self.debug_info = m.get('DebugInfo')
        if m.get('Height') is not None:
            self.height = m.get('Height')
        if m.get('IsMixedMode') is not None:
            self.is_mixed_mode = m.get('IsMixedMode')
        if m.get('KvExcelUrl') is not None:
            self.kv_excel_url = m.get('KvExcelUrl')
        if m.get('PageNo') is not None:
            self.page_no = m.get('PageNo')
        if m.get('SubImageCount') is not None:
            self.sub_image_count = m.get('SubImageCount')
        self.sub_images = []
        if m.get('SubImages') is not None:
            for k in m.get('SubImages'):
                temp_model = RecognizeAllTextResponseBodyDataSubImages()
                self.sub_images.append(temp_model.from_map(k))
        if m.get('Width') is not None:
            self.width = m.get('Width')
        if m.get('XmlResult') is not None:
            self.xml_result = m.get('XmlResult')
        return self


class RecognizeAllTextResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: RecognizeAllTextResponseBodyData = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        if self.data:
            self.data.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data.to_map()
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            temp_model = RecognizeAllTextResponseBodyData()
            self.data = temp_model.from_map(m['Data'])
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeAllTextResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeAllTextResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeAllTextResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeBankAcceptanceRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeBankAcceptanceResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeBankAcceptanceResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeBankAcceptanceResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeBankAcceptanceResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeBankAccountLicenseRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeBankAccountLicenseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeBankAccountLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeBankAccountLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeBankAccountLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeBankCardRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeBankCardResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeBankCardResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeBankCardResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeBankCardResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeBasicRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeBasicResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeBasicResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeBasicResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeBasicResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeBirthCertificationRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeBirthCertificationResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeBirthCertificationResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeBirthCertificationResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeBirthCertificationResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeBusShipTicketRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeBusShipTicketResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeBusShipTicketResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeBusShipTicketResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeBusShipTicketResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeBusinessLicenseRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeBusinessLicenseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeBusinessLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeBusinessLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeBusinessLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeCarInvoiceRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeCarInvoiceResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeCarInvoiceResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeCarInvoiceResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeCarInvoiceResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeCarNumberRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeCarNumberResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeCarNumberResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeCarNumberResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeCarNumberResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeCarVinCodeRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeCarVinCodeResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeCarVinCodeResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeCarVinCodeResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeCarVinCodeResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeChinesePassportRequest(TeaModel):
    def __init__(
        self,
        output_figure: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.output_figure = output_figure
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.output_figure is not None:
            result['OutputFigure'] = self.output_figure
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('OutputFigure') is not None:
            self.output_figure = m.get('OutputFigure')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeChinesePassportResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeChinesePassportResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeChinesePassportResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeChinesePassportResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeCommonPrintedInvoiceRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeCommonPrintedInvoiceResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeCommonPrintedInvoiceResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeCommonPrintedInvoiceResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeCommonPrintedInvoiceResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeCosmeticProduceLicenseRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeCosmeticProduceLicenseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeCosmeticProduceLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeCosmeticProduceLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeCosmeticProduceLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeCovidTestReportRequest(TeaModel):
    def __init__(
        self,
        multiple_result: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.multiple_result = multiple_result
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.multiple_result is not None:
            result['MultipleResult'] = self.multiple_result
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('MultipleResult') is not None:
            self.multiple_result = m.get('MultipleResult')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeCovidTestReportResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeCovidTestReportResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeCovidTestReportResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeCovidTestReportResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeCtwoMedicalDeviceManageLicenseRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeCtwoMedicalDeviceManageLicenseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeCtwoMedicalDeviceManageLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeCtwoMedicalDeviceManageLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeCtwoMedicalDeviceManageLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeDocumentStructureRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        need_sort_page: bool = None,
        no_stamp: bool = None,
        output_char_info: bool = None,
        output_table: bool = None,
        page: bool = None,
        paragraph: bool = None,
        row: bool = None,
        url: str = None,
        use_new_style_output: bool = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.need_sort_page = need_sort_page
        self.no_stamp = no_stamp
        self.output_char_info = output_char_info
        self.output_table = output_table
        self.page = page
        self.paragraph = paragraph
        self.row = row
        self.url = url
        self.use_new_style_output = use_new_style_output
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.need_sort_page is not None:
            result['NeedSortPage'] = self.need_sort_page
        if self.no_stamp is not None:
            result['NoStamp'] = self.no_stamp
        if self.output_char_info is not None:
            result['OutputCharInfo'] = self.output_char_info
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.page is not None:
            result['Page'] = self.page
        if self.paragraph is not None:
            result['Paragraph'] = self.paragraph
        if self.row is not None:
            result['Row'] = self.row
        if self.url is not None:
            result['Url'] = self.url
        if self.use_new_style_output is not None:
            result['UseNewStyleOutput'] = self.use_new_style_output
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('NeedSortPage') is not None:
            self.need_sort_page = m.get('NeedSortPage')
        if m.get('NoStamp') is not None:
            self.no_stamp = m.get('NoStamp')
        if m.get('OutputCharInfo') is not None:
            self.output_char_info = m.get('OutputCharInfo')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('Page') is not None:
            self.page = m.get('Page')
        if m.get('Paragraph') is not None:
            self.paragraph = m.get('Paragraph')
        if m.get('Row') is not None:
            self.row = m.get('Row')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('UseNewStyleOutput') is not None:
            self.use_new_style_output = m.get('UseNewStyleOutput')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeDocumentStructureResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeDocumentStructureResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeDocumentStructureResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeDocumentStructureResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeDrivingLicenseRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeDrivingLicenseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeDrivingLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeDrivingLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeDrivingLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeEduFormulaRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeEduFormulaResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeEduFormulaResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeEduFormulaResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeEduFormulaResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeEduOralCalculationRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeEduOralCalculationResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeEduOralCalculationResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeEduOralCalculationResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeEduOralCalculationResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeEduPaperCutRequest(TeaModel):
    def __init__(
        self,
        cut_type: str = None,
        image_type: str = None,
        output_oricoord: bool = None,
        subject: str = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        # This parameter is required.
        self.cut_type = cut_type
        # This parameter is required.
        self.image_type = image_type
        self.output_oricoord = output_oricoord
        self.subject = subject
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.cut_type is not None:
            result['CutType'] = self.cut_type
        if self.image_type is not None:
            result['ImageType'] = self.image_type
        if self.output_oricoord is not None:
            result['OutputOricoord'] = self.output_oricoord
        if self.subject is not None:
            result['Subject'] = self.subject
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CutType') is not None:
            self.cut_type = m.get('CutType')
        if m.get('ImageType') is not None:
            self.image_type = m.get('ImageType')
        if m.get('OutputOricoord') is not None:
            self.output_oricoord = m.get('OutputOricoord')
        if m.get('Subject') is not None:
            self.subject = m.get('Subject')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeEduPaperCutResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeEduPaperCutResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeEduPaperCutResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeEduPaperCutResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeEduPaperOcrRequest(TeaModel):
    def __init__(
        self,
        image_type: str = None,
        output_oricoord: bool = None,
        subject: str = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        # This parameter is required.
        self.image_type = image_type
        self.output_oricoord = output_oricoord
        self.subject = subject
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.image_type is not None:
            result['ImageType'] = self.image_type
        if self.output_oricoord is not None:
            result['OutputOricoord'] = self.output_oricoord
        if self.subject is not None:
            result['Subject'] = self.subject
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('ImageType') is not None:
            self.image_type = m.get('ImageType')
        if m.get('OutputOricoord') is not None:
            self.output_oricoord = m.get('OutputOricoord')
        if m.get('Subject') is not None:
            self.subject = m.get('Subject')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeEduPaperOcrResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeEduPaperOcrResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeEduPaperOcrResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeEduPaperOcrResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeEduPaperStructedRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        output_oricoord: bool = None,
        subject: str = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.output_oricoord = output_oricoord
        self.subject = subject
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.output_oricoord is not None:
            result['OutputOricoord'] = self.output_oricoord
        if self.subject is not None:
            result['Subject'] = self.subject
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('OutputOricoord') is not None:
            self.output_oricoord = m.get('OutputOricoord')
        if m.get('Subject') is not None:
            self.subject = m.get('Subject')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeEduPaperStructedResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeEduPaperStructedResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeEduPaperStructedResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeEduPaperStructedResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeEduQuestionOcrRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeEduQuestionOcrResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeEduQuestionOcrResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeEduQuestionOcrResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeEduQuestionOcrResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeEnglishRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        output_table: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.output_table = output_table
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeEnglishResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeEnglishResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeEnglishResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeEnglishResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeEstateCertificationRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeEstateCertificationResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeEstateCertificationResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeEstateCertificationResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeEstateCertificationResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeExitEntryPermitToHKRequest(TeaModel):
    def __init__(
        self,
        output_figure: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.output_figure = output_figure
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.output_figure is not None:
            result['OutputFigure'] = self.output_figure
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('OutputFigure') is not None:
            self.output_figure = m.get('OutputFigure')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeExitEntryPermitToHKResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeExitEntryPermitToHKResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeExitEntryPermitToHKResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeExitEntryPermitToHKResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeExitEntryPermitToMainlandRequest(TeaModel):
    def __init__(
        self,
        output_figure: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.output_figure = output_figure
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.output_figure is not None:
            result['OutputFigure'] = self.output_figure
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('OutputFigure') is not None:
            self.output_figure = m.get('OutputFigure')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeExitEntryPermitToMainlandResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeExitEntryPermitToMainlandResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeExitEntryPermitToMainlandResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeExitEntryPermitToMainlandResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeFoodManageLicenseRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeFoodManageLicenseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeFoodManageLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeFoodManageLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeFoodManageLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeFoodProduceLicenseRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeFoodProduceLicenseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeFoodProduceLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeFoodProduceLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeFoodProduceLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeGeneralRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeGeneralResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeGeneralResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeGeneralResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeGeneralResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeGeneralStructureRequest(TeaModel):
    def __init__(
        self,
        keys: List[str] = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.keys = keys
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.keys is not None:
            result['Keys'] = self.keys
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Keys') is not None:
            self.keys = m.get('Keys')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeGeneralStructureShrinkRequest(TeaModel):
    def __init__(
        self,
        keys_shrink: str = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.keys_shrink = keys_shrink
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.keys_shrink is not None:
            result['Keys'] = self.keys_shrink
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Keys') is not None:
            self.keys_shrink = m.get('Keys')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeGeneralStructureResponseBodyDataSubImagesKvInfo(TeaModel):
    def __init__(
        self,
        data: Any = None,
        kv_count: int = None,
    ):
        self.data = data
        self.kv_count = kv_count

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.data is not None:
            result['Data'] = self.data
        if self.kv_count is not None:
            result['KvCount'] = self.kv_count
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('KvCount') is not None:
            self.kv_count = m.get('KvCount')
        return self


class RecognizeGeneralStructureResponseBodyDataSubImages(TeaModel):
    def __init__(
        self,
        angle: int = None,
        kv_info: RecognizeGeneralStructureResponseBodyDataSubImagesKvInfo = None,
        sub_image_id: int = None,
    ):
        self.angle = angle
        self.kv_info = kv_info
        self.sub_image_id = sub_image_id

    def validate(self):
        if self.kv_info:
            self.kv_info.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.angle is not None:
            result['Angle'] = self.angle
        if self.kv_info is not None:
            result['KvInfo'] = self.kv_info.to_map()
        if self.sub_image_id is not None:
            result['SubImageId'] = self.sub_image_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Angle') is not None:
            self.angle = m.get('Angle')
        if m.get('KvInfo') is not None:
            temp_model = RecognizeGeneralStructureResponseBodyDataSubImagesKvInfo()
            self.kv_info = temp_model.from_map(m['KvInfo'])
        if m.get('SubImageId') is not None:
            self.sub_image_id = m.get('SubImageId')
        return self


class RecognizeGeneralStructureResponseBodyData(TeaModel):
    def __init__(
        self,
        height: int = None,
        sub_image_count: int = None,
        sub_images: List[RecognizeGeneralStructureResponseBodyDataSubImages] = None,
        width: int = None,
    ):
        self.height = height
        self.sub_image_count = sub_image_count
        self.sub_images = sub_images
        self.width = width

    def validate(self):
        if self.sub_images:
            for k in self.sub_images:
                if k:
                    k.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.height is not None:
            result['Height'] = self.height
        if self.sub_image_count is not None:
            result['SubImageCount'] = self.sub_image_count
        result['SubImages'] = []
        if self.sub_images is not None:
            for k in self.sub_images:
                result['SubImages'].append(k.to_map() if k else None)
        if self.width is not None:
            result['Width'] = self.width
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Height') is not None:
            self.height = m.get('Height')
        if m.get('SubImageCount') is not None:
            self.sub_image_count = m.get('SubImageCount')
        self.sub_images = []
        if m.get('SubImages') is not None:
            for k in m.get('SubImages'):
                temp_model = RecognizeGeneralStructureResponseBodyDataSubImages()
                self.sub_images.append(temp_model.from_map(k))
        if m.get('Width') is not None:
            self.width = m.get('Width')
        return self


class RecognizeGeneralStructureResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: RecognizeGeneralStructureResponseBodyData = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        if self.data:
            self.data.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data.to_map()
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            temp_model = RecognizeGeneralStructureResponseBodyData()
            self.data = temp_model.from_map(m['Data'])
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeGeneralStructureResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeGeneralStructureResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeGeneralStructureResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeHKIdcardRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeHKIdcardResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeHKIdcardResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeHKIdcardResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeHKIdcardResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeHandwritingRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        need_sort_page: bool = None,
        output_char_info: bool = None,
        output_table: bool = None,
        paragraph: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.need_sort_page = need_sort_page
        self.output_char_info = output_char_info
        self.output_table = output_table
        self.paragraph = paragraph
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.need_sort_page is not None:
            result['NeedSortPage'] = self.need_sort_page
        if self.output_char_info is not None:
            result['OutputCharInfo'] = self.output_char_info
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.paragraph is not None:
            result['Paragraph'] = self.paragraph
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('NeedSortPage') is not None:
            self.need_sort_page = m.get('NeedSortPage')
        if m.get('OutputCharInfo') is not None:
            self.output_char_info = m.get('OutputCharInfo')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('Paragraph') is not None:
            self.paragraph = m.get('Paragraph')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeHandwritingResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeHandwritingResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeHandwritingResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeHandwritingResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeHealthCodeRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeHealthCodeResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeHealthCodeResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeHealthCodeResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeHealthCodeResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeHotelConsumeRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeHotelConsumeResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeHotelConsumeResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeHotelConsumeResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeHotelConsumeResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeHouseholdRequest(TeaModel):
    def __init__(
        self,
        is_resident_page: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.is_resident_page = is_resident_page
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.is_resident_page is not None:
            result['IsResidentPage'] = self.is_resident_page
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('IsResidentPage') is not None:
            self.is_resident_page = m.get('IsResidentPage')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeHouseholdResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeHouseholdResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeHouseholdResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeHouseholdResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeIdcardRequest(TeaModel):
    def __init__(
        self,
        llm_rec: bool = None,
        output_figure: bool = None,
        output_quality_info: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.llm_rec = llm_rec
        self.output_figure = output_figure
        self.output_quality_info = output_quality_info
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.llm_rec is not None:
            result['Llm_rec'] = self.llm_rec
        if self.output_figure is not None:
            result['OutputFigure'] = self.output_figure
        if self.output_quality_info is not None:
            result['OutputQualityInfo'] = self.output_quality_info
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Llm_rec') is not None:
            self.llm_rec = m.get('Llm_rec')
        if m.get('OutputFigure') is not None:
            self.output_figure = m.get('OutputFigure')
        if m.get('OutputQualityInfo') is not None:
            self.output_quality_info = m.get('OutputQualityInfo')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeIdcardResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeIdcardResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeIdcardResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeIdcardResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeInternationalBusinessLicenseRequest(TeaModel):
    def __init__(
        self,
        country: str = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        # This parameter is required.
        self.country = country
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.country is not None:
            result['Country'] = self.country
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Country') is not None:
            self.country = m.get('Country')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeInternationalBusinessLicenseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeInternationalBusinessLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeInternationalBusinessLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeInternationalBusinessLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeInternationalIdcardRequest(TeaModel):
    def __init__(
        self,
        country: str = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        # This parameter is required.
        self.country = country
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.country is not None:
            result['Country'] = self.country
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Country') is not None:
            self.country = m.get('Country')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeInternationalIdcardResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeInternationalIdcardResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeInternationalIdcardResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeInternationalIdcardResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeInvoiceRequest(TeaModel):
    def __init__(
        self,
        page_no: int = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.page_no = page_no
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.page_no is not None:
            result['PageNo'] = self.page_no
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('PageNo') is not None:
            self.page_no = m.get('PageNo')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeInvoiceResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeInvoiceResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeInvoiceResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeInvoiceResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeJanpaneseRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        output_char_info: bool = None,
        output_table: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.output_char_info = output_char_info
        self.output_table = output_table
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.output_char_info is not None:
            result['OutputCharInfo'] = self.output_char_info
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('OutputCharInfo') is not None:
            self.output_char_info = m.get('OutputCharInfo')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeJanpaneseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeJanpaneseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeJanpaneseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeJanpaneseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeKoreanRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        output_char_info: bool = None,
        output_table: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.output_char_info = output_char_info
        self.output_table = output_table
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.output_char_info is not None:
            result['OutputCharInfo'] = self.output_char_info
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('OutputCharInfo') is not None:
            self.output_char_info = m.get('OutputCharInfo')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeKoreanResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeKoreanResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeKoreanResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeKoreanResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeLatinRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        output_char_info: bool = None,
        output_table: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.output_char_info = output_char_info
        self.output_table = output_table
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.output_char_info is not None:
            result['OutputCharInfo'] = self.output_char_info
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('OutputCharInfo') is not None:
            self.output_char_info = m.get('OutputCharInfo')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeLatinResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeLatinResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeLatinResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeLatinResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeMedicalDeviceManageLicenseRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeMedicalDeviceManageLicenseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeMedicalDeviceManageLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeMedicalDeviceManageLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeMedicalDeviceManageLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeMedicalDeviceProduceLicenseRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeMedicalDeviceProduceLicenseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeMedicalDeviceProduceLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeMedicalDeviceProduceLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeMedicalDeviceProduceLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeMixedInvoicesRequest(TeaModel):
    def __init__(
        self,
        merge_pdf_pages: bool = None,
        page_no: int = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.merge_pdf_pages = merge_pdf_pages
        self.page_no = page_no
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.merge_pdf_pages is not None:
            result['MergePdfPages'] = self.merge_pdf_pages
        if self.page_no is not None:
            result['PageNo'] = self.page_no
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('MergePdfPages') is not None:
            self.merge_pdf_pages = m.get('MergePdfPages')
        if m.get('PageNo') is not None:
            self.page_no = m.get('PageNo')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeMixedInvoicesResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeMixedInvoicesResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeMixedInvoicesResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeMixedInvoicesResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeMultiLanguageRequest(TeaModel):
    def __init__(
        self,
        languages: List[str] = None,
        need_rotate: bool = None,
        need_sort_page: bool = None,
        output_char_info: bool = None,
        output_table: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        # This parameter is required.
        self.languages = languages
        self.need_rotate = need_rotate
        self.need_sort_page = need_sort_page
        self.output_char_info = output_char_info
        self.output_table = output_table
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.languages is not None:
            result['Languages'] = self.languages
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.need_sort_page is not None:
            result['NeedSortPage'] = self.need_sort_page
        if self.output_char_info is not None:
            result['OutputCharInfo'] = self.output_char_info
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Languages') is not None:
            self.languages = m.get('Languages')
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('NeedSortPage') is not None:
            self.need_sort_page = m.get('NeedSortPage')
        if m.get('OutputCharInfo') is not None:
            self.output_char_info = m.get('OutputCharInfo')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeMultiLanguageShrinkRequest(TeaModel):
    def __init__(
        self,
        languages_shrink: str = None,
        need_rotate: bool = None,
        need_sort_page: bool = None,
        output_char_info: bool = None,
        output_table: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        # This parameter is required.
        self.languages_shrink = languages_shrink
        self.need_rotate = need_rotate
        self.need_sort_page = need_sort_page
        self.output_char_info = output_char_info
        self.output_table = output_table
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.languages_shrink is not None:
            result['Languages'] = self.languages_shrink
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.need_sort_page is not None:
            result['NeedSortPage'] = self.need_sort_page
        if self.output_char_info is not None:
            result['OutputCharInfo'] = self.output_char_info
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Languages') is not None:
            self.languages_shrink = m.get('Languages')
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('NeedSortPage') is not None:
            self.need_sort_page = m.get('NeedSortPage')
        if m.get('OutputCharInfo') is not None:
            self.output_char_info = m.get('OutputCharInfo')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeMultiLanguageResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeMultiLanguageResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeMultiLanguageResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeMultiLanguageResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeNonTaxInvoiceRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeNonTaxInvoiceResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeNonTaxInvoiceResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeNonTaxInvoiceResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeNonTaxInvoiceResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizePassportRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizePassportResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizePassportResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizePassportResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizePassportResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizePaymentRecordRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizePaymentRecordResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizePaymentRecordResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizePaymentRecordResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizePaymentRecordResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizePurchaseRecordRequest(TeaModel):
    def __init__(
        self,
        output_multi_orders: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.output_multi_orders = output_multi_orders
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.output_multi_orders is not None:
            result['OutputMultiOrders'] = self.output_multi_orders
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('OutputMultiOrders') is not None:
            self.output_multi_orders = m.get('OutputMultiOrders')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizePurchaseRecordResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizePurchaseRecordResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizePurchaseRecordResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizePurchaseRecordResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeQuotaInvoiceRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeQuotaInvoiceResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeQuotaInvoiceResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeQuotaInvoiceResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeQuotaInvoiceResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeRideHailingItineraryRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeRideHailingItineraryResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeRideHailingItineraryResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeRideHailingItineraryResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeRideHailingItineraryResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeRollTicketRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeRollTicketResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeRollTicketResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeRollTicketResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeRollTicketResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeRussianRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        output_char_info: bool = None,
        output_table: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.output_char_info = output_char_info
        self.output_table = output_table
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.output_char_info is not None:
            result['OutputCharInfo'] = self.output_char_info
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('OutputCharInfo') is not None:
            self.output_char_info = m.get('OutputCharInfo')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeRussianResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeRussianResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeRussianResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeRussianResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeShoppingReceiptRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeShoppingReceiptResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeShoppingReceiptResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeShoppingReceiptResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeShoppingReceiptResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeSocialSecurityCardRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeSocialSecurityCardResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeSocialSecurityCardResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeSocialSecurityCardResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeSocialSecurityCardResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeSocialSecurityCardVersionIIRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeSocialSecurityCardVersionIIResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeSocialSecurityCardVersionIIResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeSocialSecurityCardVersionIIResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeSocialSecurityCardVersionIIResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeTableOcrRequest(TeaModel):
    def __init__(
        self,
        is_hand_writing: str = None,
        line_less: bool = None,
        need_rotate: bool = None,
        skip_detection: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.is_hand_writing = is_hand_writing
        self.line_less = line_less
        self.need_rotate = need_rotate
        self.skip_detection = skip_detection
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.is_hand_writing is not None:
            result['IsHandWriting'] = self.is_hand_writing
        if self.line_less is not None:
            result['LineLess'] = self.line_less
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.skip_detection is not None:
            result['SkipDetection'] = self.skip_detection
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('IsHandWriting') is not None:
            self.is_hand_writing = m.get('IsHandWriting')
        if m.get('LineLess') is not None:
            self.line_less = m.get('LineLess')
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('SkipDetection') is not None:
            self.skip_detection = m.get('SkipDetection')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeTableOcrResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeTableOcrResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeTableOcrResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeTableOcrResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeTaxClearanceCertificateRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeTaxClearanceCertificateResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeTaxClearanceCertificateResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeTaxClearanceCertificateResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeTaxClearanceCertificateResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeTaxiInvoiceRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeTaxiInvoiceResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeTaxiInvoiceResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeTaxiInvoiceResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeTaxiInvoiceResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeThaiRequest(TeaModel):
    def __init__(
        self,
        need_rotate: bool = None,
        output_char_info: bool = None,
        output_table: bool = None,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.need_rotate = need_rotate
        self.output_char_info = output_char_info
        self.output_table = output_table
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.need_rotate is not None:
            result['NeedRotate'] = self.need_rotate
        if self.output_char_info is not None:
            result['OutputCharInfo'] = self.output_char_info
        if self.output_table is not None:
            result['OutputTable'] = self.output_table
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('NeedRotate') is not None:
            self.need_rotate = m.get('NeedRotate')
        if m.get('OutputCharInfo') is not None:
            self.output_char_info = m.get('OutputCharInfo')
        if m.get('OutputTable') is not None:
            self.output_table = m.get('OutputTable')
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeThaiResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeThaiResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeThaiResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeThaiResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeTollInvoiceRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeTollInvoiceResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeTollInvoiceResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeTollInvoiceResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeTollInvoiceResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeTradeMarkCertificationRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeTradeMarkCertificationResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeTradeMarkCertificationResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeTradeMarkCertificationResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeTradeMarkCertificationResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeTrainInvoiceRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeTrainInvoiceResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeTrainInvoiceResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeTrainInvoiceResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeTrainInvoiceResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeUsedCarInvoiceRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeUsedCarInvoiceResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeUsedCarInvoiceResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeUsedCarInvoiceResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeUsedCarInvoiceResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeVehicleCertificationRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeVehicleCertificationResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeVehicleCertificationResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeVehicleCertificationResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeVehicleCertificationResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeVehicleLicenseRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeVehicleLicenseResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeVehicleLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeVehicleLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeVehicleLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeVehicleRegistrationRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeVehicleRegistrationResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeVehicleRegistrationResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeVehicleRegistrationResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeVehicleRegistrationResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class RecognizeWaybillRequest(TeaModel):
    def __init__(
        self,
        url: str = None,
        body: BinaryIO = None,
    ):
        self.url = url
        self.body = body

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.url is not None:
            result['Url'] = self.url
        if self.body is not None:
            result['body'] = self.body
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Url') is not None:
            self.url = m.get('Url')
        if m.get('body') is not None:
            self.body = m.get('body')
        return self


class RecognizeWaybillResponseBody(TeaModel):
    def __init__(
        self,
        code: str = None,
        data: str = None,
        message: str = None,
        request_id: str = None,
    ):
        self.code = code
        self.data = data
        self.message = message
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.code is not None:
            result['Code'] = self.code
        if self.data is not None:
            result['Data'] = self.data
        if self.message is not None:
            result['Message'] = self.message
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Code') is not None:
            self.code = m.get('Code')
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('Message') is not None:
            self.message = m.get('Message')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class RecognizeWaybillResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: RecognizeWaybillResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = RecognizeWaybillResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class VerifyBusinessLicenseRequest(TeaModel):
    def __init__(
        self,
        company_name: str = None,
        credit_code: str = None,
        legal_person: str = None,
    ):
        # This parameter is required.
        self.company_name = company_name
        # This parameter is required.
        self.credit_code = credit_code
        # This parameter is required.
        self.legal_person = legal_person

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.company_name is not None:
            result['CompanyName'] = self.company_name
        if self.credit_code is not None:
            result['CreditCode'] = self.credit_code
        if self.legal_person is not None:
            result['LegalPerson'] = self.legal_person
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('CompanyName') is not None:
            self.company_name = m.get('CompanyName')
        if m.get('CreditCode') is not None:
            self.credit_code = m.get('CreditCode')
        if m.get('LegalPerson') is not None:
            self.legal_person = m.get('LegalPerson')
        return self


class VerifyBusinessLicenseResponseBody(TeaModel):
    def __init__(
        self,
        data: str = None,
        request_id: str = None,
    ):
        self.data = data
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.data is not None:
            result['Data'] = self.data
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class VerifyBusinessLicenseResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: VerifyBusinessLicenseResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = VerifyBusinessLicenseResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self


class VerifyVATInvoiceRequest(TeaModel):
    def __init__(
        self,
        invoice_code: str = None,
        invoice_date: str = None,
        invoice_kind: int = None,
        invoice_no: str = None,
        invoice_sum: str = None,
        verify_code: str = None,
    ):
        self.invoice_code = invoice_code
        # This parameter is required.
        self.invoice_date = invoice_date
        self.invoice_kind = invoice_kind
        # This parameter is required.
        self.invoice_no = invoice_no
        self.invoice_sum = invoice_sum
        self.verify_code = verify_code

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.invoice_code is not None:
            result['InvoiceCode'] = self.invoice_code
        if self.invoice_date is not None:
            result['InvoiceDate'] = self.invoice_date
        if self.invoice_kind is not None:
            result['InvoiceKind'] = self.invoice_kind
        if self.invoice_no is not None:
            result['InvoiceNo'] = self.invoice_no
        if self.invoice_sum is not None:
            result['InvoiceSum'] = self.invoice_sum
        if self.verify_code is not None:
            result['VerifyCode'] = self.verify_code
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('InvoiceCode') is not None:
            self.invoice_code = m.get('InvoiceCode')
        if m.get('InvoiceDate') is not None:
            self.invoice_date = m.get('InvoiceDate')
        if m.get('InvoiceKind') is not None:
            self.invoice_kind = m.get('InvoiceKind')
        if m.get('InvoiceNo') is not None:
            self.invoice_no = m.get('InvoiceNo')
        if m.get('InvoiceSum') is not None:
            self.invoice_sum = m.get('InvoiceSum')
        if m.get('VerifyCode') is not None:
            self.verify_code = m.get('VerifyCode')
        return self


class VerifyVATInvoiceResponseBody(TeaModel):
    def __init__(
        self,
        data: str = None,
        request_id: str = None,
    ):
        self.data = data
        self.request_id = request_id

    def validate(self):
        pass

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.data is not None:
            result['Data'] = self.data
        if self.request_id is not None:
            result['RequestId'] = self.request_id
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('Data') is not None:
            self.data = m.get('Data')
        if m.get('RequestId') is not None:
            self.request_id = m.get('RequestId')
        return self


class VerifyVATInvoiceResponse(TeaModel):
    def __init__(
        self,
        headers: Dict[str, str] = None,
        status_code: int = None,
        body: VerifyVATInvoiceResponseBody = None,
    ):
        self.headers = headers
        self.status_code = status_code
        self.body = body

    def validate(self):
        if self.body:
            self.body.validate()

    def to_map(self):
        _map = super().to_map()
        if _map is not None:
            return _map

        result = dict()
        if self.headers is not None:
            result['headers'] = self.headers
        if self.status_code is not None:
            result['statusCode'] = self.status_code
        if self.body is not None:
            result['body'] = self.body.to_map()
        return result

    def from_map(self, m: dict = None):
        m = m or dict()
        if m.get('headers') is not None:
            self.headers = m.get('headers')
        if m.get('statusCode') is not None:
            self.status_code = m.get('statusCode')
        if m.get('body') is not None:
            temp_model = VerifyVATInvoiceResponseBody()
            self.body = temp_model.from_map(m['body'])
        return self