218 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.

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 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 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.

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 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 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 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 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 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 invention discloses a firmware upgrading method and device for power end edge equipment, the equipment and a medium. The method comprises the following steps: acquiring a current firmware file and an upgrading firmware package of target equipment, and determining file types of the current firmware file and each upgrading firmware file in the upgrading firmware package; determining a hierarchical structure to which the current firmware file and the upgrade firmware file belong according to the file type and the file content; determining a data comparison mode of the hierarchical structure, and comparing the current firmware file and the upgrade firmware file under the hierarchical structure based on the data comparison mode to obtain firmware difference information; and generating a differential firmware package according to the firmware difference information, and performing firmware upgrading on the target equipment based on the differential firmware package. According to the scheme, different data comparison modes can be set according to hierarchical structures to which different firmware files belong, and equipment firmware upgrading is carried out on the basis of the differential firmware package determined by file comparison, so that the volume of an updating package is reduced, the network bandwidth and the storage space are saved, and the firmware upgrading efficiency is improved.

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 invention belongs to the technical field of data processing, and relates to a task processing method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining an SQL statement of an online target task, and preprocessing the SQL statement to obtain a first SQL statement; segmenting the first SQL statement to obtain a second SQL statement; performing grammatical analysis on the second SQL statement to extract a table name and a field name; configuring specified task dependency based on the table name and the field name; task pilot run processing is carried out based on the specified task dependency, and whether abnormity occurs in the task pilot run process or not is judged; if no exception occurs in the task pilot run process, performing data comparison on the specified task dependency and the first task dependency of the target task to obtain a data comparison result; and if the data comparison result is that the data are inconsistent, executing abnormal early warning processing on the target task. In addition, the invention also relates to a block chain technology, and the specified task dependency can be stored in a block chain. The operation stability and reliability of the task can be improved.

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.