161 results about "File comparison" patented technology

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.

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 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.

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 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 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 enterprise management and artificial intelligence, discloses a management method for cooperatively solving problems based on multiple roles, and aims to improve enterprise problem processing efficiency and cooperative capability. The management method for solving the problem based on multi-role cooperation comprises the following steps: collecting and cleaning front-line work details through an employee client of a scenarized template; the AI processing module calls a fusion model of NLP semantic analysis, computer vision identification and time series data comparison, identifies problems from work details and generates a report; the role matching engine screens matched experts and pushes related information to an expert client to input a solution; after receiving the scheme, the decision-making client synchronizes a decision-making instruction to the execution main body; and the server storage module associatively stores the full-process information through the unique identifier to form a reusable corpus packet. According to the method, multi-role efficient collaboration and knowledge precipitation are realized, and a management closed loop is optimized.

The invention discloses a verification method and system for data comparison before and after database migration, and the method comprises the steps: creating a thread pool, and adding a data comparison task into the thread pool for management; initializing configuration information required by data comparison verification; and performing data comparison on the data before the database migration and the data after the database migration, and completing data comparison verification through a configured rule. By comparing the table quantity, the record quantity, the field type, the data value, the index entry and the like before and after the database migration, the correctness and accuracy before and after the data migration can be effectively guaranteed, the verification efficiency is greatly improved, and the comparison labor cost is reduced.

A system of a server is associated with channels, a plurality of client devices subscribed to the channels, and the server includes: one or more processors; and memory storing instructions that, when executed by the one or more processors, cause the system to perform operations comprising: receiving a system configuration change request from a client device, wherein the system configuration change request comprises a first system configuration file and channel information of a first channel; obtaining, based on the channel information, a second system configuration file that is currently deployed on client devices subscribed to the first channel; displaying, on a graphic user interface, a file comparison result between the first system configuration file and the second system configuration file; and in response to the file comparison result being verified, storing the first system configuration file in a request queue for the client devices to poll and deploy.

The application discloses a data comparison method and device, equipment and a computer readable medium, and relates to the technical field of computers. A specific embodiment of the method comprises: replacing feature parameters in a sampling case template file with comparison parameters in a configuration file to obtain a sampling case of the configuration file, updating a date variable in the sampling case to obtain a sampling script; executing the sampling script in a sampling source database to obtain sampling data, and obtaining an input parameter case in a case database according to configuration information in the configuration file and the sampling data, splicing the input parameter case to obtain an operation statement; and using the operation statement to obtain business data from a source database and a target database respectively to compare the business data obtained from the source database with the business data obtained from the target database. The embodiment can improve the applicability of data comparison and effectively meet actual user requirements.

The present application belongs to the field of substation communication configuration, and particularly relates to a kind of SCL file comparison method and system.The present application establishes the node model corresponding to each node in SCL file, avoids traversing when comparing, saves traversal time, and when establishing node model, only the attribute information and the subnode information needed for node comparison are modeled, so the comparison of these nodes and attributes can be saved;when comparing nodes or their subnodes, the node content is first texturized, only the text content is compared to see if it is the same, and the text comparison method is optimized, which can quickly determine whether the node content is different, and if not, the comparison of the specific content of the node can be directly saved;and when comparing multiple node subnodes, the unique key attribute is matched, and the key attributes of each subnode in the two files are stored as a linked list and a hash table respectively, ensuring the order and retrieval speed of the results of multiple node subnodes.

The present application relates to the technical field of computer, especially relates to a kind of big data comparison method and system in financial field, the method comprises: obtaining first data source data and second data source data, pre-processing by preset data unloading rule;According to data type and content block storage, obtain the preset number of peer block area, assign the same identification to each pair of peer block area;The file block content of first data source data and second data source data with the same identification is cut into field, and key word is extracted;According to preset mapping rule, all key words in the file block of first data source data and second data source data with the same identification are compared, and the corresponding target library table unit is determined;According to preset comparison rule, the data content of corresponding target library table unit is compared;Obtain comparison result.The method is used to solve the problems caused by massive data comparison of new and old systems in system reconstruction process.

The invention discloses a data comparison method based on AI, and the method comprises the steps: data preprocessing: cleaning and standardizing an original text into a regular text; text vectorization processing: converting the regular text into a numerical form which can be understood and calculated by a machine; calculating similarity and generating candidate pairs; a matching decision is made, whether the two texts point to the same entity or not is judged according to the calculated similarity scores, and a matching result is obtained; and performing post-processing and evaluation, performing optimization processing on the matching result, and scientifically evaluating the performance of the whole system. The tolerance to format difference and noise is improved, and automation and expandability are achieved.

The embodiment of the invention provides a cross-forward isolation data comparison system, method and device, a medium and a product, and relates to the field of data synchronization and verification. The system comprises a first agent which is deployed in an intranet and accesses a source end database through a database connection protocol; the second agent is deployed in an external network and establishes one-way communication connection with the first agent; the first agent is also used for transmitting the source end data of the source end database to the second agent through the forward isolation device through the one-way communication connection; and the comparison service is deployed in an external network, pulls the source end data from the interface of the second agent, and performs comparison operation on the source end data and the target end data. According to the method provided by the invention, the technical problem of data comparison in a cross-forward isolation scene is solved through the design of a double-agent architecture and a user-defined protocol, the security and reliability of data comparison are realized, and efficient and secure data comparison in a strict network isolation environment is realized.

A method includes receiving, at hardware circuitry of a device, a target value corresponding to target data. The method also includes outputting, from the hardware circuitry, a first indicator indicating that source data corresponds to the target value. The method also includes outputting, from software running at the device based on the first indicator, a result indicator indicating that the source data corresponds to the target data.

The embodiment of the invention provides a data processing method, electronic equipment, a storage medium and a program product. Relates to the technical field of big data processing, and the method comprises the following steps: obtaining configuration information and comparison data of data comparison, determining at least one driving container, and determining a plurality of execution containers for executing comparison based on the configuration information; determining first primary key data corresponding to a plurality of pieces of first data in the first data set and second primary key data corresponding to a plurality of pieces of second data in the second data set; based on the at least one driving container, the multiple pieces of first primary key data and the multiple pieces of second primary key data, the multiple pieces of first data and the multiple pieces of second data are distributed into multiple execution containers, and the first primary key data of the first data and the second primary key data of the second data in each execution container are the same; and based on the plurality of execution containers, comparing the first data with the second data to obtain a comparison result. The method is used for achieving the effect of efficiently and concurrently processing bidirectional data comparison.

The invention discloses a data comparison method and device, equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining source data and target data, and determining a key classification based on the source data; grouping the source data according to the key classification to obtain at least one source data group; creating at least one sub-process according to the key classification, and reading at least one target data group from the target data according to the key classification through the sub-process; performing parallel calculation on each source data group and each target data group to obtain a difference set; and combining the difference sets to obtain a comparison result, so that the comparison efficiency can be improved.

The application provides a reconciliation method for JSON data and data warehouse base table data, which comprises the following steps: receiving reconciliation scheduling information for controlling task execution, reconciliation mapping relationship for associating JSON data and data warehouse base table data, and alarm configuration; constructing reconciliation execution instructions for data comparison according to a preset template and the reconciliation mapping relationship; triggering distributed computing resources to load JSON data and data warehouse base table data and performing data comparison based on the reconciliation scheduling information and the reconciliation execution instructions, and returning reconciliation result data; and analyzing the reconciliation result data according to the alarm configuration to generate corresponding alarm results. Thus, the application realizes data consistency checking between heterogeneous data and fixed table data without relying on manual customization, eliminates the structural bottleneck formed by the fact that the existing method is difficult to efficiently and accurately complete comparison in a large-scale reconciliation scenario, and improves reconciliation efficiency and accuracy.

Tables are selected based on timestamp columns to obtain tables changed during a given time period and the selected tables are split into data blocks based on given partition ranges. Changes to data of the data blocks are incrementally copied into datasets. One or more tablespaces identified using a first structured query language query corresponding to a specified timestamp are unloaded based on output of the incrementally copying changes operation. Data of a source site and a target site are compared based on data blocks having the specified timestamp.

The present disclosure provides a method, apparatus, device, and storage medium for generating an application change policy, which can be applied to the fields of big data technology and financial technology. The method comprises: obtaining target data, wherein the target data represents data to be processed by a first target application and a second target application, wherein the second target application is obtained by performing an initial change on the first target application based on the characteristics of a migrated database, and the second target application represents an initial application for implementing the same function as the first target application; processing the target data by calling the first target application to obtain a first data file; processing the target data by calling the second target application to obtain a second data file; and performing a file comparison operation on the first data file and the second data file to generate an application change policy corresponding to the second target application.

This invention discloses an SCD configuration capability training method and device, belonging to the field of substation operation and maintenance training technology. The SCD configuration capability training method compares the configuration results of an SCD template generated based on preset difficulty levels, voltage level parameters, and corresponding generation rules with known conditions against a standard SCD file item by item to obtain data comparison results. This generates SCD templates of different voltage levels and difficulties for trainees to practice independently. Given known conditions, trainees can perform online configuration and verify the configuration results, comprehensively improving their SCD configuration capabilities. This solves the problem that current teaching SCD configuration samples are not comprehensive enough and cannot cope with various configuration problems in actual operation and maintenance.

The invention relates to a data splitting comparison method, device and equipment based on data distribution and a medium. When data splitting comparison is carried out, the to-be-analyzed database of which the database type is the GoldenDB database needs to be determined from the source end database and the target end database, then the corresponding splitting strategy is dynamically determined according to the data distribution mode of the to-be-analyzed database, and after the data table of the to-be-analyzed database is split through the splitting strategy, the data table of the to-be-analyzed database is divided into the to-be-analyzed database and the to-be-analyzed database. And performing data concurrent query comparison on the source end database and the target end database on the basis of the splitting result. Therefore, when the data comparison is carried out, the data can be dynamically and reasonably split according to the data distribution mode of the table in the GoldenDB database, so that the split result is more representative, and the accuracy and efficiency of subsequent data comparison are improved.

The invention discloses a file comparison method and device and computer equipment, which can be applied to the technical field of financial science and technology, and can also be applied to the technical field of intelligent operation and maintenance and the technical field of software testing. The file comparison method comprises the steps that a first batch file is selected under a first file path, and the first file path is used for storing batch files which are sent by upstream equipment and are not loaded by downstream equipment; whether a second batch of files exist in the first file path or not is judged, the second batch of files and the first batch of files have the same purpose, and a first time interval between generation times meets a set condition; if the second batch of files exist, comparing the content of the second batch of files with the content of the first batch of files; if the content of the second batch file is different from that of the first batch file, first information is generated, and the first information is used for representing that the file program changes in the first time interval. The batch file verification efficiency can be improved, and the labor cost is saved.

This application provides a statistical method and system for incremental patch code coverage based on browser testing, belonging to the field of software testing technology. This incremental patch code coverage statistical method is used to test software projects that continuously iterate in the form of incremental patches. It includes: selecting an incremental patch to be tested from the software project; extracting JS files from the incremental patch; using a file comparison tool to compare the JS files in the incremental patch with the corresponding JS files in the benchmark environment to obtain the differing front-end code; using Puppeteer to call the browser testing interface, selecting the differing front-end code from the incremental patch's JS files based on the functional tests manually selected in the browser testing interface; and calculating the code coverage of the differing front-end code in the incremental patch based on the differing front-end code detected by the functional tests. This application can solve the problems of existing technologies affecting source code, overall testing, and the limitation to testing only static code, which affect the accuracy and timeliness of code coverage analysis.

The application discloses a file comparison method and device and a medium, and relates to the technical field of data processing. The layout analysis model is used for analyzing and processing each target file to obtain corresponding text information, and the text recognition model is used for recognizing and processing the text information to obtain corresponding file titles, so that the search efficiency for searching for the file titles in the files is improved. The file titles are processed in layers to construct a structured outline directory, and target file titles for subsequent title vector processing are obtained, so that the outline comparison and analysis function between the target files is realized through the file titles as file elements. The semantic vector model is used for processing the target file titles to obtain corresponding title vectors, so that the comparison quality reduction caused by the comparison of similar meaning texts by human subjectivity is avoided. The title vector parameters of the target file titles in the outline directory are used for similarity processing, the semantics of the whole title is focused on, and the overall difference is improved.

The invention relates to the technical field of digital finance, and provides an information auditing method and device and electronic equipment. The information auditing method comprises the steps of identifying each piece of to-be-verified actual data in file data under the condition that a to-be-audited task is received; respectively acquiring reference data corresponding to the actual data, comparing the actual data with the reference data corresponding to the actual data, and judging whether the actual data is successfully compared or not; determining each target data comparison item required to be audited for the to-be-audited task according to the task characteristics of the to-be-audited task; and determining whether the comparison results of the target data comparison items are successfully compared or not according to the comparison results of the actual data and the reference data corresponding to the actual data, and performing automatic approval under the condition that the target data comparison items are successfully compared. According to the invention, automatic auditing of the business qualification can be realized, so that the auditing efficiency is improved.

The invention discloses a multimedia file localization processing method and related equipment, and the method comprises the steps: carrying out the system initialization of a terminal which is started for the first time, obtaining a user account library and a full amount of multimedia files from a cloud resource pool, and carrying out the encryption storage locally; performing offline authentication on the login request of the user according to the login information and a user account library; obtaining a material file from a local database according to the calling information and a preset retrieval strategy, and decrypting, rendering and displaying the material file; according to the network state information and a preset updating rule, judging whether a local database needs to be updated or not; and performing data comparison on the local database and the cloud resource pool, and updating the local database according to a comparison result. According to the embodiment of the invention, efficient and safe localization management of the multimedia file can be realized, and meanwhile, the timeliness of the locally stored file is ensured. The method can be widely applied to the technical field of computers.