TWI755029B - Data processing method, device, electronic device and storage medium - Google Patents

Abstract

A method of data processing includes obtaining initial hash data and a fixed value, the initial hash data includes the data to be processed by an electronic device. The fixed value includes a memory cache fixed value of the electronic device. When the value of the initial hash data is greater than the fixed value, the initial hash data is divided into N subdate, and the subdate is input into the memory of the electronic device to obtain the first hash value after the hash processing of the subdate. According to the first hash value of each subdate to the processing result. To solve the problem that electronic devices cannot achieve hash processing due to limited memory size. For each subdate, hash processing is carried out according to the initial vector to obtain the first hash value. Completes the hash of the data to be processed on the electronic device based on the first hash value of each subdate to the processing result. An electronic device and a storage medium also disclosed.

Description

Data processing method, device, electronic device and storage medium

The present invention relates to the technical field of data processing, and in particular, to a data processing method, device, electronic device and storage medium.

With the large-scale application of some sensors and smart devices, in the current era of global electronic interconnection, due to the emergence of viruses, hackers, electronic theft, etc., the information security of these hardware devices is more important than ever. However, these hardware devices are often limited by various resources, such as the computing power, memory, and energy consumption of a central processing unit (CPU), which limit the application of traditional hash processing methods.

In view of this, it is necessary to provide a data processing method, apparatus, electronic device and storage medium, which can perform data processing on the hardware device without being limited by the memory of the hardware.

An embodiment of the present application provides a data processing method, including: acquiring initial hash data and a fixed value, wherein the initial hash data includes data to be processed by an electronic device, and the fixed value includes a memory cache fixed value of the electronic device value; when the value of the initial hash data is greater than the fixed value, the initial hash data is divided into N sub-data, wherein the value of each sub-data is less than or equal to the fixed value, and N is greater than 1 integer; Logging the sub-data into the memory of the electronic device to obtain a first hash value after hashing the sub-data; and obtaining a processing result according to the first hash value of each sub-data.

According to some embodiments of the present application, the step of obtaining a processing result according to the first hash value of each sub-data comprises: stringing the first hash value of each sub-data into a string; and according to the The string gets the processing result.

According to some embodiments of the present application, the step of obtaining the processing result according to the character string includes: when the character string is greater than the fixed value, repeating the following steps until the value of the new character string is less than or equal to the fixed value Value: Divide a string larger than the fixed value into M substrings, where M is an integer greater than 1; input the substring into the memory of the electronic device to obtain the substring for hashing processing and obtaining a new string according to the second hash value of each substring.

According to some embodiments of the present application, the step of obtaining the processing result according to the character string includes: when the value of the character string is less than or equal to the fixed value, using the character string as the processing result.

According to some embodiments of the present application, the data processing method further includes: when the value of the initial hash data is less than or equal to the fixed value, logging the initial hash data into the electronic device memory to obtain The processing result obtained after the initial hash data is hashed.

According to some embodiments of the present application, the data processing method further comprises: Obtain a random value of size; perform segmentation according to the random value of size to obtain segmentation values with the same or different values.

An embodiment of the present application provides a data processing device, including: an acquisition module for acquiring initial hash data and a fixed value, wherein the initial hash data includes data to be processed by an electronic device, and the fixed value includes the electronic device. The memory of the device caches a fixed value; the dividing module is used to divide the initial hash data into N sub-data when the value of the initial hash data is greater than the fixed value, wherein the value of each sub-data is less than or equal to the fixed value, and N is an integer greater than 1; the hash module is used to log the sub-data into the memory of the electronic device to obtain the first hash value of the sub-data after hashing; and The result module is used for obtaining a processing result according to the first hash value of each sub-data.

Preferably, the result module includes: a string unit for stringing the first hash value of each sub-data into a string; and a result unit for obtaining a processing result according to the string.

An embodiment of the present application provides an electronic device, wherein the electronic device includes: a memory and one or more processors; the memory is used to store data to be processed; when one or more programs are executed by the one or more processors A plurality of processors execute, such that the one or more processors implement the data processing method described in any of the above embodiments.

An embodiment of the present application provides a computer-readable storage medium on which a computer is stored A program, when the computer program is executed by the processor, implements the data processing method described in any of the above embodiments.

The data processing method, device, electronic device, and storage medium provided by the embodiments of the present application include comparing the value of the initial hash data with the fixed value of the memory cache of the electronic device in advance, where the value of the initial hash data is greater than the value of the electronic device. When the memory caches a fixed value, the initial hash data is divided into N sub-data, so that the numerical size of each sub-data is less than or equal to the fixed value of the memory cache of the electronic device, so as to solve the problem of limited memory size of the electronic device. For the problem that hash processing cannot be implemented, for each sub-data, hash processing is performed according to the initial vector to obtain the first hash value, and the processing result is obtained according to the first hash value of each sub-data, and the hash processing of the data to be processed on the electronic device is completed. .

100: Electronics

10: Data processing device

11: Memory

12: Processor

FIG. 1 is a schematic flowchart of an existing hash operation; FIG. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present application; FIG. 3 is a flowchart of a data processing method according to an embodiment of the present application; FIG. 4 is an embodiment of the present application. FIG. 5 is a flowchart of another data processing method according to an embodiment of the present application; FIG. 6 is a schematic diagram of a data processing apparatus according to an embodiment of the present application.

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, those of ordinary skill in the art All other implementations obtained by the member without creative efforts shall fall within the protection scope of the present invention.

Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present application.

In order to facilitate the in-depth understanding of the embodiments of the present application by those skilled in the art, the following will firstly introduce definitions of technical terms involved in the embodiments of the present application.

Hash is to transform an input of any length into a fixed-length output through a hash algorithm, and the output is a hash value, and the space of the hash value is usually much smaller than the space of the input. A hash function is a function that compresses a message of any length into a message digest of a fixed length. Definition of hash function H(x): H(x1)=h1, H(x2)=h2, h1 and h2 must have the same length. H(x1)=h1, H(x2)=h2, if h1=h2, x1 must be equal to x2. If x1 and x2 are different, the probability that h1 and h2 are the same is very low. H(x1)=h1, x1 cannot be reversed from h1. The hash algorithm can be applied according to the electronic device 100 and the application on the electronic device 100. For example, it can be applied to error correction, speech recognition and information security. Information security can include file verification, digital signature and authentication protocol. .

The process of the hash processing method implemented by the software, the 64-bit operating system is installed on the PC, the corresponding processor and static memory are configured, and the corresponding software running platform is installed. After the user enters the data, the running platform will be The operations as shown in FIG. 1 are performed on these data, wherein 110: hashed input data, ie, initial hash data. 120: Sub-block of input data for hash calculation. 130: Initial vector. 140: Hash function. 150: Internal hash status value. 160: Final hash value. Hash processing is the calculation of data block and hash function. The input data is divided into sub-blocks. For the first block, the initial vector is used to perform hash operation, and the internal hash state value is obtained, and the internal hash state value of the first block is used as the initial value. The vector is output to the second block, and so on, to calculate the final hash value.

It should be noted that hash processing can be implemented by software or hardware. In hash operation, when inputting data, all data is input to the memory at one time, and then all data is processed by the software. In the process of processing, data division will be involved. Dividing data into sub-blocks is a pre-processing step of hash operation. The purpose of the processing operation is to make all the input data conform to the standard format. When the hash operation is implemented by hardware, the hardware device is limited by its resources, such as the memory size of the hardware device, which cannot store data exceeding its memory size, and thus cannot be implemented by hardware. The present application proposes a data processing method for this problem, so that the data hash processing can be realized by hardware through the data processing method.

Please refer to FIG. 2 , the data processing apparatus 10 runs in the electronic device 100 . The electronic device 100 includes, but is not limited to, a memory 11 and at least one processor 12, and the above components can be connected by bus bars.

It should be noted that FIG. 2 only illustrates the electronic device 100 by way of example. In other embodiments, the electronic device 100 may also include more or fewer elements, or have a different configuration of elements. The electronic device 100 may include various Internet of Things terminals or devices, including mobile phones, smart watches, smart speakers, virtual reality devices, tablet computers, laptop computers, car computers, desktop computers, and e-book readers. devices, MP3 players, MP4 players, set-top boxes, wearables, and more.

In one embodiment, the memory 11 is a memory of the electronic device 100 for storing data to be processed. The data processing device 10 is logically connected to the memory 11 , so that data is logged into the memory 11 through the data processing device 10 . The processor 12 is connected to the memory 11 , directly addresses the memory 11 , obtains data to be processed, performs arithmetic processing, and completes functions such as hardware implementation of hash processing.

The data processing apparatus 10 described in the embodiments of the present application may be implemented as a client or a plug-in program, and the electronic device 100 may acquire and install the plug-in program from a remote server, so that the client or the plug-in program can be used to implement the methods described in the embodiments of the present application. Provided data processing methods. The client terminal may include at least one application program, and the client terminal can run on the electronic device 100, so as to realize the implementation of the embodiments of the present application. Data processing method. The plug-in program may be included in an application program running on the electronic device 100, so that the data processing method provided by the embodiments of the present application may be implemented.

Please refer to FIG. 3 , which is a flowchart of a data processing method according to an embodiment of the present application. The data processing method includes the following steps.

Step S00: Obtain a data processing instruction.

In this embodiment of the present application, data processing instructions may be obtained when the electronic device 100 is to perform hash processing including at least the following: error correction, voice recognition, file verification, digital signature, and authentication protocol. When hashing is performed, a data processing command can be output by the process or program that performs hashing, or the data processing device 10 can be triggered to output a data processing command when hashing is performed, and the data processing device 10 will obtain the data processing command , and execute the following steps according to the instruction to ensure that the hash processing can be implemented by hardware.

Step S10 : Obtain initial hash data and a fixed value, wherein the initial hash data includes data to be processed by the electronic device 100 , and the fixed value includes a memory cache fixed value of the memory 11 in the electronic device 100 .

In the embodiment of the present application, the data processing device 10 obtains the data processing instruction according to step S00 and reads the corresponding initial hash data and the fixed value. For example, when file verification is to be performed, the data of the file to be verified needs to be obtained. It can be understood that the initial hash data is the data to be processed, which may include digital information, IP information packets, and disk files.

In the embodiment of the present application, the fixed memory values of the memory 11 of the two different electronic devices 100 may be the same or different. It can be understood that the memory value of each memory 11 may be the same or different. The actual memory of bank 11 is determined. For a certain electronic device 100, its memory value is fixed. By reading the parameter memory capacity of the memory 11 , the numerical size of the data that can be cached by the memory 11 is obtained, such as 64MB, 128MB, 256MB, and the like.

Step S20: Determine whether the initial hash data is greater than a fixed value.

In the embodiment of the present application, the data processing device 10 compares the size of the initial hash data with the fixed value, and determines whether the initial hash data is larger than the fixed value, so as to detect whether the memory 11 can store the initial hash data.

When the data processing device 10 determines that the value of the obtained initial hash data is not greater than the fixed value, that is, less than or equal to the fixed value, step S60 is performed.

Step S60: When the value of the initial hash data is less than or equal to a fixed value, log the initial hash data into the memory of the electronic device to obtain a processing result obtained by hashing the initial hash data.

In the embodiment of the present application, the value of the initial hash data is less than or equal to a fixed value, that is, the initial hash data can be directly stored in the memory, the hash data can be directly input into the memory 11, and the processor 12 of the electronic device 100 directly addresses the memory 11 Obtain corresponding data, and perform hash processing on the obtained hash data.

When the data processing device 10 determines that the value of the obtained initial hash data is greater than the fixed value, step S30 is performed.

Step S30: When the value of the initial hash data is greater than a fixed value, divide the initial hash data into N sub-data, wherein the value of each sub-data is less than or equal to the fixed value, and N is an integer greater than 1.

In the embodiment of the present application, the data division performed during the software implementation is distinguished. The purpose of the initial hash data division in the embodiment of the present application is that the value of the data to be hashed is too large to be stored in the memory 11 of the electronic device 100 . At this time, the data is divided, and the sub-data obtained from the division are input into the memory 11 in batches, that is, the initial hash data that could not be inputted originally are logged into the memory 11 in a "time-for-space" manner.

In this embodiment of the present application, the specific segmentation method may include, but is not limited to, random size segmentation Cut and fixed division. The random size division includes generating a set of size random values in advance, the data processing device 10 obtains a corresponding number of size random values according to the number of copies to be divided, and performs random size division on the initial hash data according to the obtained set of size random values, and divides The size of each derived sub-data can be the same or different. When the initial vector is leaked, the split size based on the initial hash data is random, and the final hash value cannot be calculated. It is also possible to perform fixed division according to a preset size value, that is, to divide the initial hash data according to a preset preset value, so that the size of the divided sub-data is equal to the preset value, and the size of the data obtained after division is the same and Less than or equal to a fixed value.

In this embodiment of the present application, the value of the divided sub-data 330 in FIG. 4 is less than or equal to the fixed value. Based on the above random size division or fixed division, the sizes of each sub-data 330 may be the same or different. The number N of divided sub-data 330 can be set according to actual conditions.

Step S40: Register the sub-data in the memory of the electronic device to obtain a first hash value of the sub-data after hash processing.

In the embodiment of the present application, a group of sub-data with variable size can be obtained through random values. After the data processing device 10 inputs the divided sub-data into the memory 11, the processor 12 directly addresses the memory 11 to read the data. For the corresponding sub-data, a hash operation is performed on each sub-data to obtain a corresponding first hash value. The hash calculation can be performed by the hash function 340 in FIG. 4 . The specific hash operation process can refer to Figure 1, which can include preprocessing the input sub-data and then calculating it through the hash function. The specific algorithm of hash processing can refer to MD4, MD5, SHA-1, SHA-256, SHA-384 and SHA-512, etc., which will not be repeated in this application.

Step S50: Obtain a processing result according to the first hash value of each sub-data.

In the application embodiment, the first hash value obtained by hashing each sub-data is the result of performing data processing on the initial hash data, and the data processing device 10 can read the first hash value by reading the first hash value. Get the result of data processing. It can be understood that the embodiments of the present application mentioned The first hash value or the second hash value of is a set of binary values obtained by hashing the initial hash data.

According to some embodiments of the present application, referring to FIG. 5 , step S50 obtains a processing result according to the first hash value of each sub-profile, which may be specifically performed by the following steps:

Step S51: String the first hash value of each sub-data into a string.

In the embodiment of the present application, as shown in FIG. 4 , the data processing device 10 concatenates the first hash value 350 of each sub-data 330 into a string 360, and the string is the initial hash data of the data processing device 10 of the present application. The data processing device 10 obtains the processing result according to the character string according to the result obtained by processing.

Step S52: Determine whether the character string is greater than a fixed value.

According to some embodiments of the present application, when the data processing apparatus 10 determines that the value of the character string is less than or equal to the fixed value, step S53 is performed.

Step S53: When the numerical value of the character string is less than or equal to the fixed value, use the character string as the processing result.

In the embodiment of the present application, after the data processing apparatus 10 compares the character string with the fixed value and finds that the value of the character string is less than or equal to the fixed value, the data processing apparatus 10 may directly store the character string as the final result in the memory 11. The processor 12 addresses the memory 11 to obtain the hash processing result, and outputs the string as the processing result.

According to some embodiments of the present application, when the data processing device 10 determines that the value of the word string is greater than the fixed value, the following steps are repeated until the value of the new word string is less than or equal to the fixed value.

In the embodiment of the present application, the data processing apparatus 10 compares the size of the character string formed by the first hash value with the fixed value, and performs multiple hash operations when the character string is larger than the fixed value, thereby increasing the complexity of the collision attack.

Step S54: Divide the string larger than the fixed value into M substrings, where M is Integer greater than 1.

In this embodiment of the present application, when step S54 is performed, the specific segmentation method may refer to the foregoing random segmentation or fixed segmentation to obtain segmentation values with the same or different values, which are not specifically limited in this application.

Step S55: Input the substring into the memory of the electronic device to obtain a second hash value after hashing the substring.

In this embodiment of the present application, the specific operation principle of the hash processing is similar to that of step S40, and details are not described herein again.

Step S56: Obtain a new string according to the second hash value of each substring.

In the embodiment of the present application, the data processing apparatus 10 obtains the value of the new string from the second hash value of each substring and continues to compare the value with the fixed value until the value of the finally obtained string is smaller than the fixed value.

Referring to FIG. 6, in this embodiment, the data processing device 10 can be divided into one or more modules, the one or more modules can be stored in the processor 12, and the The processor 12 executes the data processing method of the embodiment of the present application. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the data processing apparatus 10 in the electronic device 100 . For example, the data processing apparatus 10 may be divided into an acquisition module 21 , a division module 22 , a hash module 23 and a result module 24 in FIG. 6 .

The obtaining module 21 is used for obtaining initial hash data and a fixed value, wherein the initial hash data includes data to be processed by the electronic device, and the fixed value includes a memory cache fixed value of the memory.

The segmentation module 22 is used for when the value of the initial hash data is larger than the fixed value When the value is set, the initial hash data is divided into N sub-data, wherein the value of each sub-data is less than or equal to the fixed value, and N is an integer greater than 1.

The hashing module 23 is used for logging the sub-data into the memory to obtain the first hash value after hashing the sub-data.

The result module 24 is used for obtaining a processing result according to the first hash value of each sub-data.

According to some embodiments of the present application, the result module 24 includes: a string unit 241 configured to string the first hash value of each sub-data into a string.

The result unit 242 is used for obtaining a processing result according to the character string.

The initial hash data can be processed by the data processing device 10 so as to be stored in the memory, thereby completing the hardware implementation of hash processing. For specific content, reference may be made to the above-mentioned embodiments of the data processing method, which will not be described in detail here.

The data processing method, device, electronic device, and storage medium provided by the embodiments of the present application include comparing the value of the initial hash data with the fixed value of the memory cache of the electronic device 100 in advance, where the value of the initial hash data is greater than that of the electronic device. When the memory of the electronic device 100 caches a fixed value, the initial hash data is divided into N sub-data, so that the numerical size of each sub-data is smaller than or equal to the fixed value of the memory cache of the electronic device 100. For the problem that hash processing cannot be implemented due to the limited body size, hash processing is performed for each sub-data according to the initial vector to obtain the first hash value, and the processing result is obtained according to the first hash value of each sub-data, and the electronic device 100 is completed. Handle hashing of data.

In one embodiment, the processor 12 may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processors, digital signal processors (Digital Signal Processors, DSP), dedicated integrated circuits (Application Specific Integrated Circuit, ASIC), Off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general-purpose processor may be a microprocessor or the processor 12 may be any other conventional processor or the like.

If the modules in the data processing device 10 are implemented in the form of software functional units and sold or used as independent products, they may be stored in a computer-readable storage medium. Based on this understanding, the present application can implement all or part of the processes in the methods of the above embodiments, and can also be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, so When the computer program is executed by the processor, the steps of the above-mentioned method embodiments can be implemented. Wherein, the computer program includes computer program code, and the computer program code may be in the form of original code, object code, executable file, or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a flash drive, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory); Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium Electric carrier signals and telecommunication signals are not included.

It can be understood that the module division described above is a logical function division, and other division methods may be used in actual implementation. In addition, each functional module in each embodiment of the present application may be integrated in the same processing unit, or each module may exist physically alone, or two or more modules may be integrated in the same unit. The above-mentioned integrated modules can be implemented in the form of hardware, or can be implemented in the form of hardware plus software function modules.

In another embodiment, the electronic device 100 may further include a memory (not shown), and the one or more modules may be stored in the memory and executed by the processor 12 . The memory may be the internal memory of the electronic device 100 , that is, the memory built in the electronic device 100 body. In other embodiments, the memory may also be an external memory of the electronic device 100 , that is, a memory externally connected to the electronic device 100 .

In some embodiments, the memory is used to store program codes and various data, for example, to store the program codes of the data processing device 10 installed in the electronic device 100 , and to achieve high speed during the operation of the electronic device 100 . , Automatically complete access to programs or data.

The memory may include random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, Smart Media Card (SMC), Secure Digital (Secure) Digital, SD) card, flash memory card (Flash Card), at least one disk memory device, flash memory device, or other volatile solid state memory device.

It will be apparent to those skilled in the art that the present application is not limited to the details of the above-described exemplary embodiments, but that the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application. Therefore, the above-described embodiments of the present application should be regarded as exemplary, and not restrictive, from any point of view.

330: Sub data

340: Hash function

350: first hash value

360: string

Claims (10)

A data processing method, applied to an electronic device, the improvement includes: obtaining initial hash data and a fixed value, wherein the initial hash data includes data to be processed by the electronic device, and the fixed value includes the data of the electronic device. The memory caches a fixed value; when the value of the initial hash data is greater than the fixed value, the initial hash data is divided into N sub-data, wherein the value of each sub-data is less than or equal to the fixed value, N is an integer greater than 1; log the sub-data into the memory of the electronic device to obtain a first hash value after the sub-data is hashed; and obtain according to the first hash value of each sub-data process result. The data processing method according to claim 1, wherein the step of obtaining a processing result according to the first hash value of each sub-data comprises: stringing the first hash value of each sub-data into a string ; and obtain a processing result according to the character string. The data processing method according to claim 2, wherein the step of obtaining the processing result according to the character string comprises: when the character string is greater than the fixed value, repeating the following steps until the value of the new character string is less than or equal to the fixed value: divide a string greater than the fixed value into M sub-strings, where M is an integer greater than 1; input the sub-string into the memory of the electronic device to obtain the sub-string a second hash value after hashing the word string; and obtaining a new word string according to the second hash value of each substring. The data processing method according to claim 2, wherein the The step of obtaining the processing result of the character string includes: when the value of the character string is less than or equal to the fixed value, using the character string as the processing result. The data processing method according to claim 1, wherein the inductive card includes a magnetic element, the sensor is used to detect magnetic substances, and when the inductive card is close to the sensor, the sensor The increase of the magnetic flux is detected, and the detection signal is transmitted thereby, and the detection signal is a logic high voltage signal. The data processing method according to any one of claims 1 to 5, further comprising: obtaining a random value with a random size; when the value of the initial hash data is greater than the fixed value, storing the initial hash data Dividing the data into N sub-data includes: when the value of the initial hash data is greater than the fixed value, dividing the initial hash data into N sub-data according to the size random value, wherein the N sub-data have the same value or different. A data processing device is used for an electronic device, the improvement is that it includes: an acquisition module for acquiring initial hash data and a fixed value, wherein the initial hash data includes data to be processed by an electronic device, and the fixed value is The value includes a fixed value in the memory cache of the electronic device; the dividing module is used to divide the initial hash data into N sub-data when the value of the initial hash data is greater than the fixed value, wherein each The value of the sub-data is less than or equal to the fixed value, and N is an integer greater than 1; the hash module is used to log the sub-data into the memory of the electronic device to obtain the a first hash value obtained by hashing the sub-data; and a result module for obtaining a processing result according to the first hash value of each sub-data. The data processing device according to claim 7, wherein the result module comprises: a string unit, used for stringing the first hash value of each sub-data into a string; Descriptive string to get the processing result. An electronic device, which is improved in that the electronic device comprises: a memory and one or more processors; the memory is connected to one or more processors through a bus bar; the memory is used to store the to-be-processed data; when one or more programs are executed by the one or more processors, causing the one or more processors to implement the data processing method as described in any one of claims 1 to 6. A computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the data processing method described in any one of claim 1 to 6.

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