CN116009828A - Web-based integrated data management method - Google Patents

Web-based integrated data management method Download PDF

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CN116009828A
CN116009828A CN202310310763.5A CN202310310763A CN116009828A CN 116009828 A CN116009828 A CN 116009828A CN 202310310763 A CN202310310763 A CN 202310310763A CN 116009828 A CN116009828 A CN 116009828A
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data
web
mode
user
management method
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洪跃宗
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Xiamen Fanzhuo Information Technology Co ltd
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Xiamen Fanzhuo Information Technology Co ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The invention discloses a Web-based integrated data management method, which comprises the steps of establishing a four-layer data combined data architecture comprising a user mode, a local mode, a global mode and a data source mode; adding data integrated management in a global mode to realize positioning of data; user mode data encapsulation is carried out through Web to generate a local mode; and extracting data for conversion and uploading to a data source mode. In the integration scheme of the Web, a user can realize integral flow monitoring by logging in a certain node, so as to realize the query function; and the data integration method can solve the heterogeneous problem of the data source by verifying through the Markov network, and provide a transparent and effective data access interface for the user.

Description

Web-based integrated data management method
Technical Field
The invention relates to the technical field of big data integrated management, in particular to an integrated data management method based on Web.
Background
In the conventional data integration management method, an automatic process is adopted, which brings about two problems:
(1) The automated data integration management cost is high, and the accurate directional change of the data cannot be realized;
(2) The automatic data integrated management can not realize the effective reference to the data, so that a system is required to be built for the reference to the data, and the whole management is bulked.
Based on this, it is necessary to establish a management method that is low in cost, high in flow-through efficiency, and capable of realizing efficient review of integrated data.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The present invention has been made in view of the above and/or existing problems with a Web-based integrated data management method.
Therefore, the problem to be solved by the present invention is how to provide an integrated data management method based on Web, which can achieve low cost, high circulation efficiency and efficient review of integrated data.
In order to solve the technical problems, the invention provides the following technical scheme: the Web-based integrated data management method comprises the steps of establishing a four-layer data combined data architecture comprising a user mode, a local mode, a global mode and a data source mode; adding data integrated management in a global mode to realize positioning of data; user mode data encapsulation is carried out through Web to generate a local mode; extracting data, converting and uploading the data into a data source mode; the local mode is a data form expressed by the same data model and is converted into the same data model by a Web encapsulated data source; the Web expresses a data source in an XML form, and an XML file is a tree structure and consists of a root node and a plurality of attribute nodes; the Web converts data into an XML mode into three steps, namely firstly, an XML file is generated, original data attributes and types are converted according to the types of the document and the structure of the data, secondly, a metadata dictionary is established, and complex elements and definition elements in the XML file are generated into a relation table structure in the metadata dictionary; and finally, establishing a data relation base table, and searching parent elements and child elements of the elements.
As a preferred embodiment of the Web-based integrated data management method of the present invention, the method further comprises: the global mode comprises a field mapping table and global metadata; the field mapping table refers to the corresponding relation between entity table information and local data attributes; the global metadata refers to a resource expression core, so that a user using data can use the data on the basis of knowing the data, and a basis for sharing the data is provided.
As a preferred embodiment of the Web-based integrated data management method of the present invention, the method further comprises: after integrating the Web service and the data, a user can realize a data query function through Web, and the queriable data comprises central database data and local data source data; the Markov logic network serves as a unified framework for the central database data.
As a preferred embodiment of the Web-based integrated data management method of the present invention, the method further comprises: the method comprises the steps that firstly, sentences to be queried are input into a Web server through a terminal or a browser, the Web server receives the sentences to be queried and then converts the sentences to be queried into a heterogeneous data source access sequence, query conditions are changed into data source access aiming at parameters, web analysis is carried out again after language query requirements are received, extracted data are sent back to the Web server in an XML format, and finally query results returned by each data source are integrated and processed and converted into data format conforming to the Web browser and are sent to a user; the integration processing comprises filtering of data results, conversion and merging of data formats.
As a preferred embodiment of the Web-based integrated data management method of the present invention, the method further comprises: variable set x= { X containing n variables in Markov network 1 ,x 2 ,...,x n All groups are C, with group E
Figure SMS_1
The variable set corresponding to C is X E The variable set joint distribution calculation mode of Markov is as follows:
Figure SMS_2
in the method, in the process of the invention,
Figure SMS_3
probability of occurrence of a variable of Markov in a clique, σ E Expressed is the potential function of the radical E, which means modeling the variable relation of E, and after transformation relation +.>
Figure SMS_4
Where Z is a normalization factor.
As a preferred embodiment of the Web-based integrated data management method of the present invention, the method further comprises: the potential function in the Markov network is expressed as an exponential function, the exponential term is the weighted characteristic quantity of the group, and the calculation shows that:
Figure SMS_5
wherein f i (x) Representing the characteristic function, ω, of the ith clique i Is the weight of the ith clique and M is the number of cliques.
As a preferred embodiment of the Web-based integrated data management method of the present invention, the method further comprises: the data integration process comprises a data integration stage, a Web publishing and registering stage and a user data query stage; the data integration stage comprises the steps of integrating data sources, displaying integrated data in an XML format, further eliminating the isomerism among the data sources, and generating global metadata information and a field mapping table after the data integration stage is finished;
the Web publishing and registering stage comprises two parts of realizing service interface description and service interface realization through WSDL by using the Web, binding the Web to a transmission protocol and a message format and then defining an access point, and when program change is needed, converting the program according to the WSDL description to generate a SOAP message to call the Web.
A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method as described above when executing the computer program.
A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method as described above.
The invention has the beneficial effects that: (1) In the integration scheme using Web, a user can realize integral flow monitoring by logging in a certain node, so as to realize the query function; (2) The data integration method can solve the heterogeneous problem of the data source by verifying through the Markov network, and provides a transparent and effective data access interface for the user.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is a method flowchart of a Web-based integrated data management method in embodiment 1.
Fig. 2 is a system configuration diagram of an integrated Web-based data management method in embodiment 3.
Fig. 3 is a temperature prediction diagram of an integrated Web-based data management method in embodiment 3.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Example 1
Referring to fig. 1, a first embodiment of the present invention provides a Web-based integrated data management method, which includes the following steps:
s1, establishing a four-layer data combined data architecture comprising a user mode, a local mode, a global mode and a data source mode;
s2, adding data integrated management in a global mode to realize positioning of data;
s3, user mode data encapsulation is carried out through Web to generate a local mode;
s4, extracting data, converting and uploading the data to a data source mode.
Wherein the global schema comprises a field mapping table and global metadata; the field mapping table refers to the corresponding relation between entity table information and local data attributes; global metadata refers to a resource expression core that enables users using data to use data on the basis of knowing the data and provides the basis for data sharing.
The local mode is a data form expressed by the same data model and converted into the same data model by a Web encapsulated data source; the Web expresses the data source in an XML form, and an XML file is a tree structure and consists of a root node and a plurality of attribute nodes; the Web converts the data into an XML mode into three steps, namely firstly, an XML file is generated, original data attributes and types are converted according to the types of the file and the structures of the data, secondly, a metadata dictionary is built, and complex elements and definition elements in the XML file are generated into a relation table structure in the metadata dictionary; and finally, establishing a data relation base table, and searching parent elements and child elements of the elements.
After integrating the Web service and the data, a user can realize a data query function through the Web, and the queriable data comprises central database data and local data source data.
The steps of the user query language are: firstly, inputting sentences to be queried into a Web server through a terminal or a browser, converting the sentences into a heterogeneous data source access sequence after the Web server receives the sentences to be queried, changing query conditions into data source access aiming at parameters, analyzing again after the Web receives language query requirements, sending the extracted data back into the Web server in an XML format, integrating and processing query results returned by each data source, and converting the query results into a data format conforming to the Web browser to be sent to the user; the integration processing comprises filtering of data results, conversion and merging of data formats.
Variable set x= { X containing n variables in Markov network 1 ,x 2 ,...,x n All groups are C, with group E
Figure SMS_6
The variable set corresponding to C is X E The variable set joint distribution calculation mode of Markov is as follows:
Figure SMS_7
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_8
probability of occurrence of a variable of Markov in a clique, σ E Expressed is the potential function of the radical E, which means modeling the variable relation of E, and after transformation relation +.>
Figure SMS_9
Where Z is a normalization factor.
The normalization factor is relatively difficult to calculate, and accurate values are not needed in many times in the integrated data management process, so that the potential function in the Markov network can be expressed as an exponential function, and the exponential term is a weighted feature quantity of a cluster and can be calculated and known:
Figure SMS_10
wherein f i (x) Representing the characteristic function, ω, of the ith clique i Is the ith groupM is the number of clusters.
The data integration process comprises a data integration stage, a Web publishing and registering stage and a user data query stage; and integrating the data sources in the data integration stage, and displaying the integrated data in an XML format so as to eliminate the isomerism among the data sources, and generating global metadata information and a field mapping table after the stage is finished.
The Web publishing and registering stage firstly utilizes Web to realize two parts of service interface description and service interface realization through WSDL, the Web is bound to a transmission protocol and a message format and then defines an access point, and when program change is needed, the program generates SOAP message according to WSDL description conversion to call the Web.
Example 2
A second embodiment of the present invention, which is different from the first embodiment, is: the present invention may be any possible system, method and/or computer program product of technical detail integration. The computer program product may include a computer readable storage medium having computer readable program instructions thereon for causing a processor to perform aspects of the present invention.
Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Example 3
Referring to fig. 2 and 3, a third embodiment of the present invention is shown, which is different from the first two embodiments in that: the method is used for realizing the prediction of the future weather conditions by using a Web-based integrated data management method.
The invention aims to not only verify the accuracy of data, but also meet the daily requirements of users, so that the users have good use experience, and can help the users to accurately analyze and infer weather and cope with future weather conditions.
Currently, software systems mainly have two structures, namely B/S (browser/server) and C/S (client/server).
The C/S includes two parts, a client and a server, and an application program needs to be installed on the client to communicate with the server through the internet. If the server side is changed, all the clients must be reinstalled, which is not beneficial to system maintenance. The B/S structure may not notify all clients, and even if the content is changed, the clients may not be notified to perform the upgrade. The B/S also includes both client and server layers, but the client does not have to install an application and only needs to use a browser. Whenever an application system is modified, only a network server is required to be maintained, and the applicability of the system is improved.
Development language: JAVA
Development platform: myeclipse8.5
The system comprises: windows1064 bits
And (3) a server: tomcat6.0
Supporting a browser: chrome, IE10
The method is characterized in that firstly, the integration and construction process of weather information inquiry items and weather information bodies is briefly introduced, and on the basis of integrated weather data, the weather information inquiry function is realized, and then the visual display of images is presented to users, wherein the main functions are as follows:
(1) Item introduction: the concrete implementation meaning of the project is briefly analyzed, and the ontology and the construction process are introduced.
(2) Inquiring the air quality condition according to the geographic position: the function is mainly to display air quality and specific data through different weights of Web graphs by using the visualization technology of Echarts on the basis of a hundred-degree map API.
(3) And (3) inquiring the trend of the air temperature in the future: the function is to analyze RDF data generated by a system, and intuitively display the temperature change in the next days on a coordinate system in a line graph mode.
The system functional structure is as shown in fig. 2:
the overall design of the system program should follow the principle of high aggregation and low coupling of the program when the program design is carried out. The system was designed with a total of 7 packages, each with the functions shown in table 1.
Table 1 data function
Figure SMS_11
The implementation of the extraction and query of RDF data by the data query layer requires the application of the Jena framework and SPARQL query language. The main purpose of the data query layer is to realize unified interface access to data. The interface provides multiple query methods and provides different return value types, either by city name or by different dates and geographic locations. To implement the function of the interface and the operation on the RDF file, an interface or class in the Jena framework is required.
Charters chart control: echarts is a JavaScript chart library based on Html5, and the Echarts chart has a simple API, can display images on different intelligent devices, such as a PC, a tablet computer and a mobile phone, and has good self-adaptive effect. Various different chart display tools including a line graph, a scatter graph, a pie graph and the like are provided in the chart library, so that different data processing requirements can be met, and the data presentation mode is more personalized and perfect.
Echarts also supports various interactive functions of the graph, like tool-tip, zoom, pan, etc., while being able to easily integrate various server technologies.
Inquiring air quality function introduction according to geographic position: the function is to provide air quality conditions of different cities, so that a user can intuitively know regional distribution of air quality, can inquire about air pollution indexes of the cities, and inquires about results of the users.
The function is realized: (1) use of echartits: the Echarts has a large number of graphic configuration models, and a developer can achieve the aim of data visualization by using corresponding graphics only by reading related configuration documents. The relevant JavaScript code for creating the chart is shown below, and needs to specify the created chart display coordinates, chart type, data set to be displayed on the chart, and other information.
(2) Obtaining city position information and air quality data: firstly, acquiring geographic position (longitude and latitude) information of each city by using a hundred-degree map API, then acquiring an air quality index of the corresponding city from a background database by using an ajax technology on an HTML page, analyzing json data, transmitting the json data to the front end, further rendering the acquired data by using Echarts, and displaying an image in a map coordinate system.
The air quality condition is displayed in a geographical position mode, and compared with other modes of directly inquiring the air quality condition of a certain place by software, the air quality condition display method has the advantages that a user can be helped to obtain a global view, the relation between the air quality condition and the spatial geographical position can be analyzed, and the user can know the cause of the condition.
After air temperature data is acquired from the background, the data is rendered into a graph by using Echarts, and the program operation is shown in FIG. 3. The air temperature trend is displayed through the line graph, so that specific numerical values of the air temperature can be represented, the increase and decrease change conditions of the air temperature can be clearly seen, the air temperature trend is beneficial to a user to pre-judge weather in the future week, and the air temperature trend is ready for dressing, traveling, sports and the like in advance. The highest temperature, the lowest temperature and the average temperature of each day are also marked on the line diagram, and the weather change condition of the future week can be intuitively and thoroughly acquired through the line diagram.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.

Claims (9)

1. The integrated data management method based on Web is characterized in that: comprising
Establishing a four-layer data combined data architecture comprising a user mode, a local mode, a global mode and a data source mode;
adding data integrated management in a global mode to realize positioning of data;
user mode data encapsulation is carried out through Web to generate a local mode;
extracting data, converting and uploading the data into a data source mode;
the local mode is a data form expressed by the same data model and is converted into the same data model by a Web encapsulated data source;
the Web expresses a data source in an XML form, and an XML file is a tree structure and consists of a root node and a plurality of attribute nodes;
the Web converts data into an XML mode into three steps, namely firstly, an XML file is generated, original data attributes and types are converted according to the types of the document and the structure of the data, secondly, a metadata dictionary is established, and complex elements and definition elements in the XML file are generated into a relation table structure in the metadata dictionary; and finally, establishing a data relation base table, and searching parent elements and child elements of the elements.
2. The Web-based integrated data management method of claim 1, wherein: the global mode comprises a field mapping table and global metadata;
the field mapping table refers to the corresponding relation between entity table information and local data attributes;
the global metadata refers to a resource expression core, so that a user using data can use the data on the basis of knowing the data, and a basis for sharing the data is provided.
3. The Web-based integrated data management method of claim 2, wherein: after integrating the Web service and the data, a user can realize a data query function through Web, and the queriable data comprises central database data and local data source data;
the Markov logic network serves as a unified framework for the central database data.
4. A Web-based integrated data management method as recited in claim 3, wherein: the user query language comprises the steps of
Firstly, inputting sentences to be queried into a Web server through a terminal or a browser, converting the sentences into a heterogeneous data source access sequence after the Web server receives the sentences to be queried, changing query conditions into data source access aiming at parameters, analyzing again after the Web receives language query requirements, sending the extracted data into the Web server in an XML format, and finally integrating and processing query results returned by each data source, and converting the query results into a data format conforming to the Web browser and sending the data format to a user;
the integration processing comprises filtering of data results, conversion and merging of data formats.
5. The Web-based integrated data management method of claim 4, wherein: variable set x= { X containing n variables in Markov network 1 ,x 2 ,...,x n All groups are C, with group E
Figure QLYQS_1
The variable set corresponding to C is X E The variable set joint distribution calculation mode of Markov is as follows:
Figure QLYQS_2
in the method, in the process of the invention,
Figure QLYQS_3
probability of occurrence of a variable of Markov in a clique, σ E Expressed is a clusterThe potential function of E, which means modeling the variable relationship of E, after transformation relationship +.>
Figure QLYQS_4
Where Z is a normalization factor.
6. The Web-based integrated data management method of claim 5, wherein: the potential function in the Markov network is expressed as an exponential function, the exponential term is the weighted characteristic quantity of the group, and the calculation shows that:
Figure QLYQS_5
wherein f i (x) Representing the characteristic function, ω, of the ith clique i Is the weight of the ith clique and M is the number of cliques.
7. A Web-based integrated data management method according to claim 5 or 6, wherein: the data integration process comprises a data integration stage, a Web publishing and registering stage and a user data query stage;
the data integration stage comprises the steps of integrating data sources, displaying integrated data in an XML format, further eliminating the isomerism among the data sources, and generating global metadata information and a field mapping table after the data integration stage is finished;
the Web publishing and registering stage comprises two parts of realizing service interface description and service interface realization through WSDL by using the Web, binding the Web to a transmission protocol and a message format and then defining an access point, and when program change is needed, converting the program according to the WSDL description to generate a SOAP message to call the Web.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180089312A1 (en) * 2016-09-26 2018-03-29 Splunk Inc. Multi-layer partition allocation for query execution
CN110073301A (en) * 2017-08-02 2019-07-30 强力物联网投资组合2016有限公司 The detection method and system under data collection environment in industrial Internet of Things with large data sets
CN114297224A (en) * 2021-12-22 2022-04-08 重庆邮电大学 RDF-based heterogeneous data integration and query system and method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180089312A1 (en) * 2016-09-26 2018-03-29 Splunk Inc. Multi-layer partition allocation for query execution
CN110073301A (en) * 2017-08-02 2019-07-30 强力物联网投资组合2016有限公司 The detection method and system under data collection environment in industrial Internet of Things with large data sets
CN114297224A (en) * 2021-12-22 2022-04-08 重庆邮电大学 RDF-based heterogeneous data integration and query system and method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
LUCYGILL: "马尔可夫逻辑网终极理解", 《HTTPS://BLOG.CSDN.NET/LUCYGILL/ARTICLE/DETAILS/79780490》 *
超级超级小天才: "【机器学习】(七)马尔可夫链、马尔可夫随机场、条件随机场", 《HTTPS://WWW.JIANSHU.COM/P/A29821CF28DB》 *

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