315 results about "File comparison" patented technology

The invention relates to the technical field of software development, and discloses an automatic UI function test method and system, electronic equipment and a storage medium. The method comprises the steps of receiving a natural language test requirement; intercepting an interface image in real time and transmitting the interface image to a multi-modal analysis module through an API; interface element layout is identified based on computer vision (CV), demand semantics are analyzed in combination with natural language processing (NLP), and a dynamic operation instruction set is generated; driving the automatic tool to execute clicking, sliding and input operations through the API; dynamically adjusting a test path according to execution feedback, and covering a multi-scene case; interface element states, system logs and performance data are monitored in real time, and automatic verification is achieved through multi-dimensional data comparison. According to the method, multi-modal recognition and AI intention understanding technologies are fused, the problems that a traditional UI test script is high in maintenance cost and low in scene coverage rate are solved, non-intrusive self-adaptive full-process testing is achieved, and the testing efficiency is improved by 40% or above.

The invention relates to the technical field of semantic understanding, in particular to an environmental impact report auxiliary auditing system based on semantic understanding, which comprises a text cleaning module, a chapter segmentation module, a rule generation module, a content auditing module and a result output module. According to the method, the paragraph structure and the layout identification are analyzed in a unified mode, key paragraph types in environmental influence chapters are efficiently recognized, the text integration accuracy is improved by combining inter-paragraph similarity calculation and repetition rate screening, chapter boundary accurate positioning and affiliation adjustment are achieved on the basis of format feature comparison of serial numbers and title styles, and the text integration efficiency is improved. A multi-layer parameter alignment rule set is constructed to support comprehensive verification of standard numbers, monitoring frequencies and periodic elements, an exception labeling mechanism is combined to complete difference item logic judgment and consistency evaluation, an auditing basis with rule driving and data comparison capabilities is formed, chapter positioning precision, element extraction comprehensiveness and logic exception recognition efficiency are improved, and the method is suitable for popularization and application. And the pertinence and the automatic processing depth in the auditing process are enhanced.

A multi-table data validation tool is run following migration of data from a source database to a target database. The multi-table data validation tool extracts data from source and target locations into memory, transforms data and masks confidential data as needed, then performs two types of data comparison, including row count and data content comparison. Result files of each comparison are available to the migration team, enabling updates and improvements to the migration tools. The multi-table data validation tool may further be used to extract requested data from either the source database or the target database. The multi-table data validation tool may be dockerized as a container for ease of deployment in different environments.

The invention discloses a multi-sample attack detection and defense method oriented to a large language model, and relates to the field of artificial intelligence security. A multi-level text screening and intervention mechanism is constructed, and the influence of multi-sample attack is reduced through input content deduplication, format adjustment and context disturbance. Performing similarity analysis on the text, identifying highly repeated examples, and screening by using an efficient matching strategy; and utilizing a pre-training model to map semantic features of a text, and combining with historical data comparison to judge whether a potential induction risk exists or not. A multi-round dialogue structure is analyzed, an interaction mode of a user and a system is extracted and analyzed, a detection rule is dynamically adjusted, and the adaptability to induced attacks in different formats is improved. For high-risk texts, deletion and truncation strategies are adopted, a small amount of core content is reserved, and for part of medium-risk texts, the sequence is adjusted or interference information is inserted to reduce the influence. The safety of the LLM in a complex interaction environment is improved, generation of non-compliant content is reduced, and the method is efficient, low in accidental injury and extensible.

The invention relates to the technical field of computers, and particularly provides an application upgrading method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: dividing an application program into at least two service function modules based on a service function which can be realized by the application program; for each service function module, obtaining a domain name for accessing the service function module; when an upgrading event for the application program is detected, determining a target service function module needing to be upgraded from divided service function modules of the application program, and obtaining upgrading resources corresponding to the target service function module; and based on the resource access path corresponding to the target service function module, updating the service resources stored in the resource access path corresponding to the target service function module by using the upgrade resources. Therefore, the service resource is updated by taking the service function module as the minimum upgrading unit, a tedious file comparison process is not needed, and the time consumed by upgrading is reduced.

The invention discloses a data verification method based on unitized architecture data migration and a related device, relates to the technical field of data processing, and is applied to a resource manager to acquire registration information of a to-be-migrated system, and the registration information comprises migration configuration, comparison configuration and fragmentation configuration; and in response to a data comparison request after the migration of the to-be-migrated system is completed, allocating a comparison server to the data tables under different units based on the fragment configuration, and sending the migration configuration and the comparison configuration to the comparison server, so that the comparison server executes a data comparison task on the corresponding data tables based on the migration configuration and the comparison configuration. A general scheme is provided for the data comparison process after data migration under the unitized architecture, the comparison process is managed and scheduled in a unified mode by means of the characteristics of the unitized architecture, and the efficient and ordered comparison process under the unitized architecture is achieved.

The invention discloses an agent-free real-time backup method for a virtual machine of a privatized cloud platform, which comprises the following steps of: starting a backup service of a transmission unit, loading an eBPF program and initializing a configuration file; creating and initializing a shared memory; an eBPF program is loaded on a host machine, and the eBPF program is attached to a related function for processing a virtio-blk write IO request; the eBPF program intercepts a write IO (input / output) of virtio-blk equipment in the host machine, and data parameters are analyzed; the eBPF program encapsulates the write IO request and adds the encapsulated write IO request data structure into a shared memory; the backup service of the transmission unit reads the data from the shared memory and transmits the data to the storage unit; according to the method, complex snapshot operation and related resource consumption work such as data comparison and merging do not need to be carried out, the influence of the backup process on the performance of a service environment is small, the dependence on a virtualization platform is reduced, the method has higher universality and portability, and the limitation of a traditional backup method is effectively solved.

The invention relates to a data comparison method and device, computer equipment and a storage medium. The method comprises the steps that when a data comparison instruction is received at a first moment, first to-be-compared data of a first database at the first moment and second to-be-compared data of second data at the first moment are acquired; performing full-quantity comparison on the first to-be-compared data and the second to-be-compared data within a first preset duration from the first moment to obtain a difference set; within a second preset duration, the first database and the second database are used for conducting multi-round difference comparison on the difference data in the difference set, a target comparison result is obtained, and the target comparison result comprises real difference data of the first database and the second database at the first moment. Multi-round difference comparison is carried out on the difference part subjected to full-amount comparison, pseudo differences generated by time differences in the difference part are removed, only real differences are reserved, and therefore the problem of how to determine the real differences between different online databases is solved.

The invention discloses a real-time data verification test method and device for a solid state disk and a medium, and the method comprises the steps: analyzing configuration parameters in a test script, the configuration parameters comprising a data block, a logic address and a read / write command; encoding the data block to form an encoded data block, wherein the encoded data block comprises the data block and unique data feature information corresponding to the data block; writing the coded data block into a logic block address corresponding to the solid state disk according to a write command and a logic address of the read / write command, and storing the data feature information in a memory of the solid state disk; and reading data according to a read command in the read / write command, and when data comparison verification is started in the configuration parameters, comparing the data feature information in the memory with the read coded data block every time the command is read. And through real-time data verification, the integrity of the data in writing, reading and Trim operations is ensured, and data errors and loss are effectively detected.

The embodiment of the invention provides a data comparison method and device, equipment, a medium and a program product, and relates to the technical field of data processing. The method is applied to a source end data table and a target end data table under the condition that a source end database and a target end database are heterogeneous databases, and comprises the following steps: according to comparison keys of each row of data in the source end data table and the target end data table, performing Hash modulo operation through the comparison keys, and determining respective bucket values of each row of data; distributing each row of data in the source end data table to a corresponding bucket based on the bucket value of each row of data in the source end data table, and distributing each row of data in the target end data table to a corresponding bucket based on the bucket value of each row of data in the target end data table; and configuring a plurality of comparison threads for a plurality of preset buckets, and performing parallel data comparison on each row of data in the plurality of preset buckets through the plurality of comparison threads to obtain a data comparison result. According to the method, relatively high comparison accuracy and relatively high comparison efficiency can be considered at the same time.

The invention discloses a data consistency verification and compensation method and device, a storage medium and electronic equipment, and the method comprises the steps: detecting failed transactions and transactions containing unaffected events in a data synchronization process, recording the failed transactions and the transactions containing the unaffected events, and forming a to-be-verified transaction set; analyzing the transactions in the to-be-verified transaction set to obtain a plurality of independent events, comparing the verification values of the independent events at the corresponding data rows of the source end and the target end, screening out to-be-compensated events according to the comparison result, and forming a to-be-compensated event set; and determining an execution dependency relationship related to the events in the to-be-compensated event set, controlling an execution sequence according to the execution dependency relationship, and executing corresponding data compensation operation on the events in the to-be-compensated event set in the target end database. According to the embodiment of the invention, pertinent verification is carried out by detecting that no influence event transaction exists in the synchronization process, so that unnecessary data comparison is reduced on the premise of ensuring data consistency, and the processing efficiency and the resource utilization rate of the compensation process are improved.

A method for inverse modeling of a part includes: importing a first electronic file comprising a three-dimensional reference design of a part; manufacturing the part based on the first electronic file; collecting metrology data for the part and creating a second electronic file comprising the collected metrology data; comparing the first electronic file and the second electronic file and determining a deviation based on the comparison; determining whether the deviation is acceptable; and in the event the deviation is determined not to be acceptable, revising the three-dimensional reference design of the part or modifying a manufacturing process for the part.

The invention discloses a data comparison method and device, a storage medium and electronic equipment. The method comprises the following steps: in response to a data comparison request initiated by a client, determining comparison rule data in the data comparison request; analyzing the comparison rule data to obtain query format data; inputting the query format data into a stream processing framework to obtain a data comparison result; wherein the stream processing framework is used for executing a data comparison task; and feeding back a data comparison result to the client. Through the method and the device, the problem that the rule comparison result cannot be flexibly pushed to the user side in real time in the prior art is solved.

The invention discloses a data comparison method and device and a storage medium, and relates to the technical field of automatic testing, and the method comprises the steps: obtaining a target business scene and a query key value inputted by a user side; according to a mapping relation between a preset service scene and service scene configuration information, service scene configuration information corresponding to the target service scene is determined, and the service scene configuration information comprises at least one source data table and a corresponding expected value configuration table; determining business data corresponding to the query key value in the source data table, and determining a first expected value corresponding to the business data according to an expected value configuration table; determining a first actual value of the business data corresponding to any query key value, and marking the business data of which the first expected value is different from the first actual value; and outputting all service data corresponding to the query information to the user side. According to the method and the device, automatic data comparison is realized, so that the data comparison efficiency is improved.

The invention discloses a target knowledge data recognition and extraction method optimized by a depth algorithm, relates to the technical field of knowledge extraction, and solves the problem of overlong subsequent content output time caused by relatively slow target data comparison process. Text semantics are converted into quantifiable geometric features, compared with traditional keyword matching, implicit association (such as synonyms and context dependence) between semantics can be captured, recognition features are mapped to a two-dimensional coordinate system, a target object is rapidly matched through the Euclidean distance, the efficiency is improved by 10-20 times compared with full-amount traversal query, clustering analysis based on historical extracted data is achieved, and the query efficiency is improved. Through calculation of a mean value time column and a feature value TT, the optimal computing power configuration is automatically identified, and for time feature sorting of different extraction objects, tasks which are short in time consumption are preferentially processed, so that the queue is prevented from being blocked by long tasks.

The invention provides a self-adaptive data access account checking method and device and a medium, and belongs to the technical field of computer information processing. The method comprises the following steps: selecting a source database, a source data table, a target database and a target data table for account checking, selecting primary keys of the source data table and the target data table as a data comparison basis, and setting an initial account checking frequency; reading data of the source database and the target database through Spark SQL, and performing distributed preprocessing on the data of the source database; generating an MD5 abstract for each row of data in the source data table and the target data table through an MD5 algorithm, and adding the generated MD5 abstract as a new column to the data table; searching the MD5 abstract according to the main key comparison, determining a difference data line, searching problem data according to the difference data line, and recording an account checking result; and adjusting the account checking frequency according to the current data account checking result through a Q-learning algorithm. The account checking speed and accuracy are improved, computing resources are utilized more efficiently, and hardware resource consumption is reduced.

The embodiment of the invention provides a data processing method and device based on a financial system, electronic equipment and a medium, and belongs to the technical field of financial science and technology. The method comprises the following steps: determining associated service software bound with a financial system, and obtaining a software category of the associated service software; for each associated service software, creating a timed task according to the software category, and creating a transaction flow table according to the timed task; obtaining a transaction flow record of the financial system within a preset duration; based on the timed task, obtaining a transaction file of the associated service software within a preset duration, the transaction file being used for representing transaction flow details of the associated service software within the preset duration; performing field association on the flow water meter field and the transaction file to obtain a transaction wide table; and comparing the transaction file with the transaction flow record through the transaction wide table to obtain a data analysis result. According to the embodiment of the invention, automatic comparison of data can be realized, and the overall efficiency of data comparison is improved.

The invention relates to the technical field of block chains, in particular to a small and micro enterprise credit increase accounting data evidence storage method and system based on a block chain technology. The method comprises the following steps: receiving small and micro enterprise accounting data information; the Hash value of the preprocessed electronic certificate accounting data is stored in the block chain; meanwhile, other information of the data is stored by using an interstellar file system; querying a root hash value stored on the block chain, wherein the root hash value corresponds to the electronic evidence to be verified; calculating a hash value according to the electronic evidence to be verified, and comparing the hash value with the root hash value; under the condition that the comparison result is consistent, providing feedback information which is not tampered and a certification report; the system comprises a credit-increased accounting data receiving module, a credit-increased accounting data storage module, a credit-increased accounting data query module, a credit-increased accounting data comparison module and a credit-increased accounting data feedback module. In this way, credit increasing service is provided for accounting data of small and micro enterprises, and the credit degree of the small and micro enterprises in the financial market is improved.

The present invention relates to the field of data processing technology, and specifically to an efficient data processing system and method based on multi-source data comparison, in which a self-checking associated data fusion analysis module performs self-checking on the configuration file of each data comparison party based on the data table configuration area, generates a data comparison self-checking associated data project set, and performs fusion determination processing on the elements in the data comparison self-checking associated data project set. The present invention supports flexible configuration of multiple association conditions and data formats to meet the comparison requirements in different scenarios; at the same time, the present invention realizes self-checking of the configuration file of the data comparison party during the comparison process, reducing the impact of interference data in the configuration file on subsequent comparison operations; and introduces fusion determination processing operations on data at different stages in the comparison process, realizing dynamic optimization and screening of data during the comparison process, and realizing effective management of comparison data.

The invention discloses a data comparison method based on metadata. The method specifically comprises the following steps: acquiring data structures of a source database and a target database to formulate corresponding meta-models; reading metadata of the source database and the target database according to the meta-model and the connection information of the database, and recording the metadata into an intermediate database for comparison; on the basis of the total table record number, the field data type and the like in the metadata, determining the size of a fragment modulo cardinal number, calculating a hash value of a unique identification key by adopting an XXHash algorithm, and determining the number of fragments, the serial number of each fragment and the hash value range corresponding to each fragment; the XXHash algorithm is adopted again to calculate the data of the corresponding fragments, and corresponding hash values are generated; and comparing detailed data in the corresponding fragments, and outputting a difference result. The method has the advantages that the data processing process is optimized, the high calculation speed is kept, the overall efficiency is effectively improved, and two or more data sets can be efficiently and accurately compared.

The invention relates to a data synchronization and comparison method and device, and aims to efficiently and accurately solve the problem of data consistency of a source end and a target end. The method comprises the following steps: (1) data partitioning: partitioning data of a source end and a target end according to a preset rule; (2) hash calculation: generating a hash value for each data block; (3) hash comparison: rapidly screening inconsistent data blocks by comparing hash values; (4) recording and comparing: comparing inconsistent data blocks item by item and field by field to determine specific differences; and (5) data restoration: restoring the target end data according to the comparison result. According to the method, the comparison data volume is reduced through data partitioning and Hash calculation, and the comparison efficiency is remarkably improved; hash comparison and record comparison are combined, so that the comparison accuracy is ensured; the scheme does not depend on external factors, is suitable for various complex data structures, and has wide applicability.

The invention belongs to the technical field of data analysis, and relates to a data comparison method and device, computer equipment and a storage medium, and the method comprises the steps: receiving a data comparison request sent by a request terminal; constructing a data comparison task corresponding to the data source information according to a pre-configured comparison rule file; performing data conversion operation on the data source information according to a data conversion mode corresponding to the type of the data source information to obtain standard data source information; performing data preprocessing operation on the standard data source information to obtain preprocessed data source information; performing data comparison operation on the preprocessed data source information according to the metadata description to obtain a data comparison result; and carrying out difference data identification operation on the data comparison result to obtain a difference data identification result. According to the method, the user or the system administrator is effectively helped to identify and analyze the difference between the data, so that the accuracy and consistency of the data are ensured.

The invention discloses a batch data reconciliation method and device, equipment, a storage medium and a product, and relates to the technical field of data comparison, and the batch data reconciliation method comprises the steps of obtaining database batch data in response to a batch reconciliation instruction; summarizing the database batch data to obtain first to-be-checked summarized data; obtaining second to-be-checked summarized data, checking the first to-be-checked summarized data with the second to-be-checked summarized data, and determining a checking result; and if the checking result is inconsistent, performing detail checking, confirming difference data, updating and supplementing the first to-be-checked summarized data based on the difference data, and returning to the step of comparing the first to-be-checked summarized data with the second to-be-checked summarized data until the checking result is consistent, and confirming that the batch reconciliation result is a balance reconciliation result. According to the method and the device, the batch data of the database is summarized for checking, and the account checking data is aligned through detail checking and supplementing, so that the account checking efficiency is improved.

The invention relates to the technical field of data visualization, in particular to an adaptive chart display method and system based on metadata driving, a front-end and back-end separation architecture is adopted, and the overall process comprises the steps that a user inputs an SQL query statement on a front-end interface, a back-end executes query operation after receiving a request, metadata analysis is conducted, and the SQL query statement is obtained; performing chart type decision through a rule engine, formatting data and then transmitting the data to a front end, and completing rendering display of a chart by the front end; the method has the advantages that from simple classification data comparison to complex multi-dimensional data analysis, the system can adapt to most conventional data analysis scenes, and the data visualization requirements of enterprises in different business scenes are met.

The invention relates to a security flash memory module verification method and system based on a parameterized reference model, and aims to realize one-time writing and multi-position calling through packaging encryption judgment and data comparison logic, greatly reduce the duplicate code quantity of a test case, and reduce duplicate labor by using a uniform interface. By means of a parameter randomization mechanism in a construction script, automatic and multi-parameter combined verification of the secure flash memory module is realized, and the verification coverage rate is improved by parameterized automatic execution. AES key carrying is used as base class function packaging, case writing is simplified, process consistency is kept, key carrying process modularization is achieved, and maintenance cost is reduced. Various verification processes are executed under a unified framework, manual intervention is reduced, the human error probability is reduced, verification efficiency and stability are improved, meanwhile, stability and expandability of a simulation environment are improved, and the method can adapt to design and verification requirements of various security flash memory modules.

The invention relates to the technical field of big data, can be applied to the field of financial science and technology, and discloses a data comparison method, device and equipment and a storage medium, and the method comprises the steps: obtaining the number of first records of a source data table, and obtaining the number of second records of a target data table; when the first record number is not the second record number, performing hash calculation on metadata in the source data table to generate a first hash value, and performing hash calculation on metadata in the target data table to generate a second hash value; when the first hash value is not the second hash value, obtaining a first field in the source data table, and obtaining a second field in the target data table; when the numerical value of the first field is not the numerical value of the second field, obtaining the accuracy rate of the target data table; and generating a data comparison result between the source data table and the target data table according to the difference value, the accuracy rate, the numerical value of the first field and the numerical value of the second field. The data comparison efficiency of the source data table and the target data table is improved.

The invention discloses a high-performance Top-k screening system and method supporting any sequence length. The system comprises a mutually different register array used for storing data sequence segments needing to be subjected to data size comparison; the hub selection register array is used for indicating whether the data in the corresponding mutually different register array can be used as a hub or not in the current data size comparison round; the hub unit is used for providing a hub selection set or updating the hub selection set according to a statistical result of a previous data size comparison round provided by the accumulator; the accumulator is used for counting the number of data greater than the hub in the data input sequence in the current data size comparison round according to the number of segments provided by the comparison unit; the judgment module is used for determining a screening result; or updating the hub selection set. The screening system provided by the embodiment of the invention has relatively high expandability and is beneficial to improving the data screening efficiency; the method can be widely applied to the technical field of hardware implementation algorithms.

The invention relates to the technical field of contract management, and discloses a contract full-life-cycle intelligent management robot system which comprises a presentation layer, an application layer, a data layer and an infrastructure layer. According to the contract full-life-cycle intelligent management robot system and the implementation method thereof, the problems of comparison, modification and recognition of contract files in complex formats are solved through the intelligent file comparison module; the OCR recognition unit supports multiple file formats, and a Tesseract OCR engine is combined with a convolutional neural network to optimize the character recognition accuracy; the image preprocessing unit executes graying, noise reduction, binaryzation and character segmentation operations to ensure high-quality image input; the comparison algorithm unit adopts a page-by-page comparison method, records modification information of texts and images, and calculates similarity by using an editing distance and structural similarity algorithm; finally, the PDF document containing the modification information and the similarity report is generated, rapid and accurate analysis of contract content is achieved, and enterprise decision-making efficiency and accuracy are remarkably improved.

The invention provides a data comparison method and device, electronic equipment, a medium and a program product, and can be applied to the field of data processing. The method comprises the following steps: acquiring a first data identifier of each piece of streaming data transmitted by a source end data system in a cache region; based on a plurality of threads and each first data identifier, concurrently obtaining to-be-compared data matched with each piece of streaming data in a target data system, the first data identifier of the streaming data being the same as a second data identifier of the to-be-compared data matched with the streaming data; and comparing each piece of streaming data with the to-be-compared data matched with the streaming data. According to the invention, the data comparison efficiency is improved.

The invention discloses a file data processing method and device, equipment and a computer storage medium, and is applied to the field of image processing. The method comprises the following steps: performing character recognition on an initial file and a target file to obtain a plurality of recognition text blocks respectively corresponding to the initial file and the target file; and on the basis of the position information corresponding to the plurality of recognition text blocks, combining the plurality of recognition text blocks in the same row to obtain a transverse text corresponding to the initial file and the target file. And based on the position information corresponding to the plurality of recognition text blocks, according to a first comparison result of the number of the first separators of two adjacent rows of the plurality of recognition text blocks and a preset number threshold, merging the plurality of recognition text blocks in the same column to obtain a longitudinal text corresponding to the initial file and the target file. By obtaining the transverse text and the longitudinal text, the line and column differences of the initial file and the target file can be determined, so that the accuracy of file comparison is improved.