623 results about "Numeric Value" patented technology

The invention relates to a dynamic speculation sampling method and system for large model reasoning. The method comprises the following steps: processing requests for multiple groups of input test data of similar scenes based on a predetermined application scene reasoned by the large model, obtaining the maximum throughput data volume of the throughput data volume of the target model in the conventional sampling mode and the maximum throughput data volume of the throughput data volume of the target model in the speculation sampling mode, wherein the maximum throughput data volume is larger than or equal to the maximum throughput data volume of the throughput data volume of the corresponding conventional sampling mode. Configuring a request number span sequence which is used for dynamic speculation sampling and is arranged from large to small and a draft token number sequence which is arranged from small to large and has corresponding length; aiming at a specific data processing request, determining a span value interval formed by adjacent request values of the current survival request number in the request number span sequence according to the current survival request number, and setting a draft token number for each request in the current survival request number based on a draft token value in a draft token number sequence corresponding to a lower request value of the span value interval.

The invention relates to the technical field of data processing, in particular to an LLM-based multi-source heterogeneous data intelligent fusion and self-adaptive processing method, which comprises the following steps of: receiving multi-source heterogeneous data, matching character sequences of mailbox fields and identity card number fields in records one by one by adopting a preset regular expression model, according to a preset key value pair mapping dictionary, items are uniformly converted, data records which cannot pass format verification, type conversion and value domain mapping are marked as doubt, and data records which cannot be processed or are marked as suspicious are separated. According to the method, a hierarchical processing flow is constructed, and deterministic format verification, type conversion and value domain mapping are arranged at the front end of a processing link, so that most simple data quality problems can be quickly processed with low calculation overhead. Then, numeric statistics and character string comparison are used to carry out fuzzy correction on the data, and spelling errors and numeric abnormities which cannot be covered by rules are further solved.

The invention provides a model reasoning method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: performing attention calculation on inferred tokens by adopting first numerical precision through a large language model to obtain a first attention score corresponding to each inferred token; screening a target tokens from the inferred tokens based on the first attention score; reasoning the input sequence by adopting second numerical precision through the large language model to obtain a reasoning result output by the large language model; the input sequence comprises a target token and tokens to be input corresponding to the token to be inferred; the tokens to be input are tokens pre-selected from the inferred tokens according to a preset rule; the first numerical precision is lower than the second numerical precision. According to the method, the sparse processing of the token is realized by adopting mixed precision calculation, so that the reasoning efficiency of the large language model is improved.

The embodiment of the invention provides a data processing method for a chip, the chip and electronic device.The method comprises the steps that in response to a target triggering condition, counting values of all performance counters in the chip are grouped and collected, and multiple sets of counting data are obtained; each group of counting data comprises counting values of a plurality of performance counters; performing compression processing on the multiple groups of counting data to obtain multiple groups of compressed counting data; and respectively sending the plurality of groups of compressed counting data to a memory. Therefore, on one hand, the dumping efficiency of the count value of the performance counter can be improved, and the overall performance of the chip is improved; on the other hand, the problem that the counting data of each group cannot be matched easily due to too many groups can be improved, and the accuracy after the counting value data dumped in groups are recombined is improved; and on the other hand, time consumed by the user to wait for numerical value dump of the performance counter can be reduced, and user experience is improved.

A system and method for data compaction and encryption of anonymized data records. A dataset may be pre-processed by dividing into sourceblocks at reasonable intervals and tallying each sourceblock's frequency, creating a tally record of tokens and count values. This tally record may then be anonymized and transmitted to a data deconstruction engine which combined with a library manager creates a codebook and performs optimization techniques on the codebook. The data deconstruction engine and library manager may be distributed across multiple nodes or devices. The received anonymized tally record may be parsed into individual tokens by identifying the tokens with the highest count value. The tokens may then be sent descending order of count value to the library manger where each token may be assigned a codeword. A half-backed codebook is then created using the tokens and each token's unique codeword, before sending the half-backed codebook to a system user.

The invention relates to the technical field of data storage, and discloses a numerical data variable-length coding storage method, device, equipment and medium, which comprises the following steps: converting target numerical data into fixed-length binary representation according to definition precision, executing filling removal interception processing on an integer part, executing digital-level packet compression coding on a decimal part, and performing variable-length coding on the target numerical data; and generating a variable-length binary sequence containing length information and symbol information, and writing the sequence into a storage medium to realize compact storage of numerical data. According to the method, redundant filling bytes are eliminated from an integer part, compressed encoding is performed on a decimal part according to effective digits, and unified processing of sign bits is combined, so that a storage space dynamically changes along with actual numerical digits on the premise of keeping numerical precision and analyzability, space waste of fixed-length numerical types is reduced, and the method is suitable for large-scale popularization and application. Meanwhile, the precision error of the floating-point number is avoided, and the storage efficiency and the data reliability are improved.

A computerized method for detection of format drift and format anomalies is described. A format representation for each data point of a first data sample is extracted. Transformations of each format representation is conducted, resulting in a first plurality of count values (reference) and a second plurality of count values. Each count value identifies a number of occurrences of a transformed format representation within that data sample. Thereafter, a first probability distribution for the first plurality of count values and a second probability distribution for the second plurality of count values are computed. Analytics using the first and probability distributions are conducted to produce a first metric. A format drift is determined based on an evaluation of the first metric to a second metric operating as a threshold metric. Format anomalies are detected based on analytics of hashed format representation and determination of infrequent usage of a particular format representation.

The embodiment of the invention provides a distributed data deduplication method and product. The method comprises the steps of obtaining a data key of data to be subjected to deduplication; distributing the data to be subjected to duplicate removal to the ith sub-bucket according to the mixed hash value of the data key; mapping the mixed hash value according to a hash function attribute value configured for the ith sub-bucket to obtain k position numbers; reading numerical values of positions corresponding to the k position numbers from a bit array which is stored at the current moment and corresponds to the ith sub-bucket to obtain k numbers; if it is confirmed that the k numbers are all first numerical values, it is confirmed that the data to be subjected to duplicate removal belong to duplicate data; and if at least one of the k digits is confirmed to be a second numerical value, confirming that the data to be subjected to duplicate removal belongs to new data. According to the embodiment of the invention, the speed and accuracy of big data deduplication processing are remarkably improved, and the problem of single-node calculation overload (different buckets can be distributed to different calculation nodes) is effectively solved.

The invention discloses a dynamic adjustment method of a metadata block, electronic equipment and a storage medium, and relates to the technical field of storage equipment. According to the relation between the frequency proportion of a first erasing frequency and a second erasing frequency and a target preset proportion threshold value determined based on the average erasing frequency and the maximum erasing frequency proportion, the first erasing frequency and the second erasing frequency are adjusted; according to the method, whether the data blocks are adjusted or not is judged according to the first data blocks and the numerical value of the first erasing times, when adjustment is determined, the preset number of data blocks in the first data blocks are adjusted into the new second data blocks, meanwhile, the original second data blocks are merged into the first data blocks, dynamic adjustment of the two types of data blocks is achieved, the erasing times of the two types of data blocks are balanced, and therefore the user experience is improved. The technical problem that the solid state disk enters a read-only state due to the fact that the flash memory blocks used by four stages of units reach the service life limit firstly due to the fact that the difference of the erasing times of the two types of flash memory blocks is too large in the prior art can be solved, and the technical effects of improving the availability and reliability of the solid state disk and prolonging the service life of the solid state disk are achieved.

The embodiment of the invention discloses a game numerical value balance adjustment method and device, equipment and a storage medium, and the method comprises the steps: obtaining game numerical value tables of different types of game numerical values, and carrying out the format conversion of each game numerical value table to obtain a corresponding first data table in a standard data format; associating the first data tables corresponding to the game numerical values of different types according to the game role identifiers to obtain a second data table, wherein the second data table is a linked table associated with the game role identifiers; and comparing the game settlement parameter corresponding to each game role identifier in the second data table with a preset threshold value, and adjusting the corresponding game numerical value according to a comparison result to obtain a game numerical value adjustment result. According to the scheme, the problem that the game numerical value balance adjustment efficiency is low can be solved, balance adjustment of the corresponding game numerical value is carried out based on comparison of the game settlement parameter and the preset threshold value, automation and intelligence of game numerical value balance adjustment are achieved, and the overall efficiency of game numerical value balance adjustment is improved.

The invention relates to the technical field of data processing, in particular to a target neologism determination method and device based on a cohesion degree algorithm and a medium, and the method comprises the following steps: processing a given corpus to obtain a plurality of candidate neologisms, and calculating a plurality of attribute indexes of each candidate neologism, dynamically acquiring an index evaluation threshold value of each attribute index of the candidate new words according to the length of the candidate new words, the frequency adjustment factors corresponding to the candidate new words and a numerical value distribution condition of each attribute index corresponding to a plurality of candidate new words in a given corpus, marking as 0 when any attribute index is smaller than the corresponding index evaluation threshold value, otherwise, marking as 1, and determining that the candidate new words are not the candidate new words. When the product of all the mark values corresponding to the candidate new word is 1, determining the candidate new word as a target new word; according to the method and the device, the multi-dimensional attribute indexes of the candidate new words are obtained, and the index evaluation threshold value of each attribute index of each candidate new word is dynamically adjusted, so that the accuracy and the reliability of screening the target new words are improved.

Techniques for filter and sort versions of software instances executing on computing devices in a network are disclosed. The system receives an instruction to execute an operation on software instances that satisfy numerical criterion and non-numerical criterion. A standardizing function is applied to the numerical criterion to determine a standardized numerical criterion. The system accesses version number values corresponding to software instances on the computing devices in the network. By applying the standardizing function to numerical version numbers of the version number values, the system determines standardized numerical version numbers for the version number values. The system filters the standardized numerical version numbers based on the standardized numerical criterion. The system identifies software instances with (a) associated standardized numerical version numbers that meet the standardized numerical criterion and (b) non-numerical components that meet the non-numerical criterion. The system executes the operation on the software instances that meet the criteria.

The invention discloses a floating-point number format conversion device and method, a storage medium and a program product, and relates to the technical field of floating-point number format conversion. The device comprises a preprocessing unit and a conversion mapping unit; the preprocessing unit is used for receiving input data in a first floating point format and performing bit width compression processing on at least part of digits influencing rounding operation in the input data to generate a corresponding index value, and the bit width of the index value is smaller than the mantissa bit width of the input data; the conversion mapping unit is coupled to the preprocessing unit, a plurality of mapping relations between index value ranges and numerical value representations in a second floating point format are stored in the conversion mapping unit, and the conversion mapping unit is used for searching the corresponding numerical value representations in the second floating point format according to the index values to serve as output data. The invention aims to reduce the number of logic gates and the circuit complexity required by floating-point number format conversion, so that the area of a related chip is reduced, the power consumption is reduced, and the operation delay is shortened.

The invention discloses a data processing method and device, which can reduce service time delay and equipment cost. In the method, a data receiving and transmitting end determines N CB groups corresponding to a first TB according to a first numerical value. The sending end executes LCP with the CB group as the granularity, and the receiving end decodes the CB group with the CB group as the granularity. Wherein the first numerical value is the number X of the CBs contained in one CB group, or the number Y of the CB groups contained in one TB. The N CB groups meet one of the following items: the number of CBs included in each CB group in the N CB groups is a second numerical value; or, the number of the CBs contained in the first M CB groups in the N CB groups is a second numerical value, the number of the CBs contained in the last N-M CB groups is a third numerical value, and M is a positive integer smaller than N; or, the number of the CBs contained in the first N-M CB groups in the N CB groups is the third numerical value, and the number of the CBs contained in the last M CB groups is the second numerical value; or, the number of the CBs contained in each CB group in the N CB groups is a fourth numerical value.

A system and method for data compaction and encryption of anonymized data records. A dataset may be pre-processed by dividing into sourceblocks at reasonable intervals and tallying each sourceblock's frequency, creating a tally record of tokens and count values. This tally record may then be anonymized and transmitted to a data deconstruction engine which combined with a library manager creates a codebook and performs optimization techniques on the codebook. The data deconstruction engine and library manager may be distributed across multiple nodes or devices. The received anonymized tally record may be parsed into individual tokens by identifying the tokens with the highest count value. The tokens may then be sent descending order of count value to the library manger where each token may be assigned a codeword. A half-backed codebook is then created using the tokens and each token's unique codeword, before sending the half-backed codebook to a system user.

The invention discloses a graph database decimal index coding and decoding method based on key value storage, and belongs to the technical field of graph database management. The coding method comprises the following steps: receiving numerical values to be coded and sorting direction parameters thereof; normalizing the to-be-coded numerical value, and extracting a symbol, a weight and a digital array of the normalized to-be-coded numerical value; dynamically generating a coding auxiliary parameter set based on the sorting direction parameters and the symbols, the coding auxiliary parameter set comprising sorting masks, escape characters and filling characters; converting the symbol, the weight and the digital array into a binary coded stream according to the coding auxiliary parameter set; adding a data termination mark consisting of escape characters at the tail of the binary coded stream; and outputting the binary coded stream for orderly storage and retrieval of the data. According to the method, the decimal value is decomposed into the symbol, the weight and the digital array, and then the compact binary coding mode is adopted for coding, so that efficient storage and query of the graph database index are realized.

A computing system can obtain a machine-learned model comprising one or more parameters having a four-bit binary format. The four-bit binary format can correlate a plurality of sixteen respective binary values to a plurality of sixteen corresponding numerical values represented by the binary values. The sixteen numerical values can be symmetric about a median. A plurality of step sizes between the sixteen numerical values can be non-uniform. The computing system can obtain one or more input values for one or more layers of the machine-learned model. The computing system can process, based at least in part on the one or more parameters having the four-bit binary format, the one or more input values to generate one or more output values.

Provided in the embodiments of the present disclosure are a data compression method, a data decompression method, a computing device, a computer storage medium and a computer program product. The data compression method comprises: determining data to be compressed that has been subjected to character coding according to a unicode coding format; according to a byte order, reading character data from the data to be compressed, and determining a first dictionary or a second dictionary hit by the character data; searching for a coding sub-space corresponding to the first dictionary or the second dictionary, and determining coded values, in corresponding coding sub-spaces, of dictionary data hit by the character data, so as to obtain a coded-value set corresponding to the data to be compressed; and on the basis of the coded-value set and the first dictionary, obtaining compressed data.

Implementations of this specification provide a numerical range query method and apparatus for privacy protection and an index construction method and apparatus for privacy protection, and relate to the field of computer technologies. During index construction, a correspondence between m range indexes and n address indexes is established by using a mapping relationship between n data and m numerical range intervals, and an address index and a range index corresponding to the address index are used as a data block, which is stored in a tree-structured database in an oblivious random access manner. When range query is performed on data, a first range index corresponding to a numerical range to be queried is determined by using the foregoing correspondence, a corresponding first leaf node is computed based on the first range index, several corresponding data blocks are read from the tree-structured database in an oblivious random access manner, a target address index is determined from the data blocks, an n-dimensional query vector is generated based on the target address index and n address indexes, and a query result is determined from n pieces of data by using the n-dimensional query vector.

Apparatuses and methods for efficient reporting. A method performed by a user equipment (UE) includes receiving information about channel state information (CSI) and determining the coefficient values. The CSI includes coefficient values that are encoded based on a variable-length (VL) encoder {(νk, Ak)} where a coefficient value Ak is encoded as a VL code νk, k=0, . . . , NVL−1, and NVL is a number of VL codes. The method further includes determining VL codes of the coefficient values based on the VL encoder and transmitting a CSI report including at least one indicator indicating the VL codes of the coefficient values.

One or more embodiments of the specification provide a data processing method and device applied to a database system. After triggering a data type conversion task, the data processing method obtains a to-be-converted floating point number of the data type conversion task, converts the to-be-converted floating point number into a first floating point number represented by an extended precision, and then calculates a second floating point number scaled to a preset numerical interval through multiple loop integer calculations to perform accurate rounding. According to whether the decimal part of the intermediate value of the last loop integer calculation and the distance between the upper interval and the lower interval of the last loop integer calculation are both greater than the error value of the last loop integer calculation, in the case of satisfying the error value of the last loop integer calculation, the second floating point number is converted into a fixed point number according to the integer part of the intermediate value of each loop integer calculation and the rounding result of the last loop integer calculation, to serve as the execution result of the data type conversion task.

The present application discloses an encoding method, a decoding method, a code stream, an encoder, a decoder, and a storage medium. The decoding method comprises: parsing a first syntactic element in a code stream; when the first syntactic element indicates that k transform layers of the current point cloud allow for skip decoding, parsing a second syntactic element of the current transform layer among the k transform layers in the code stream, wherein k is an integer greater than zero; when the second syntactic element indicates that the current transform layer uses skip decoding technology, determining that one or more alternating current coefficient residual values of the current transform layer are preset values; and on the basis of the one or more alternating current coefficient residual values of the current transform layer, determining one or more alternating current coefficient reconstruction values of the current transform layer. In this way, the encoding and decoding efficiency of RAHT transform can be improved.

The invention provides a high-performance data processing method and device, a medium and a program product. A specific implementation mode of the application comprises the following steps: analyzing an input condition to obtain a key value pair, an operator and a weight; inverting the operator through preset logic conversion mapping, mapping a field type and generating a query condition; constructing a rule configuration table containing mapping fields, weights and rule IDs; and generating a final SQL template based on the elements. During execution, the SQL template is executed according to user parameters, the highest priority rule ID is returned according to a weight descending order, complete rule data is quickly obtained through memory hash mapping, and meanwhile, the performance is improved by adopting a column type storage numeric field and enumeration value mapping integer ID and combining parameter normalization cache (calculating a parameter hash cache result). Rules can be conveniently configured, rule change effective time can be shortened, storage can be reduced, and system expansibility can be improved.

This invention discloses a method, system, and medium for storing degree-of-freedom numbers in a numerical computation grid, relating to the field of numerical computation technology. By improving the storage structure of degree-of-freedom numbers, the storage and access efficiency of degree-of-freedom numbers is optimized, and different numbering methods can be selected according to actual needs, thereby improving the flexibility and overall performance of numerical computation. Two data sets are designed for each variable group to uniformly store the degree-of-freedom numbers of variables within the group, and the storage space occupied is effectively reduced through data compression.

The application belongs to the technical field of data compression, and discloses a data compression method, device, equipment and storage medium. The method comprises the following steps: when compressing to-be-compressed data, the data type of the to-be-compressed data is acquired; when the data type is a preset data type, the numerical interval of the to-be-compressed data is determined; the corresponding target compression strategy is determined according to the numerical interval; and the to-be-compressed data is compressed based on the target compression strategy to obtain target compressed data. Through the above method, when the data type of the to-be-compressed data is the preset data type, the numerical interval in which the size of the to-be-compressed data is located is determined, and the corresponding compression strategy is determined based on the data interval in which the to-be-compressed data is located, so that the compression rate during data compression can be improved.

The embodiment of the invention provides a data compression method, a data decompression method, computing equipment, a computer storage medium and a computer program product. The data compression method comprises the following steps: determining to-be-compressed data subjected to character coding according to a unified code coding format; reading character data from the to-be-compressed data according to a byte sequence, and determining a first dictionary or a second dictionary hit by the character data; searching coding subspaces respectively corresponding to the first dictionary or the second dictionary, and determining coding numerical values of dictionary data hit by the character data in the corresponding coding subspaces to obtain a coding numerical value group corresponding to the data to be compressed; and obtaining compressed data based on the coding numerical value group and the first dictionary. According to the technical scheme provided by the embodiment of the invention, the compression rate and the compression speed of data compression are ensured, and the compression performance is improved.

The invention discloses a work order demand identification method and platform fused with big data analysis, and relates to the technical field of work order data processing.Accurate work order demand identification under multi-source data fusion is achieved through multi-module collaboration.The method comprises the steps that firstly, a multi-source candidate identifier original character string is obtained and converted into a half-byte sequence; counting the half-byte length, judging a tail filling type label according to the half-byte length, and filtering a non-protocol type pseudo string; processing the half-byte sequence according to a tail filling type label to obtain a pure digital half-byte sequence, intercepting a 14-bit numerical sequence, calculating to generate a 15-bit standard IMEI (International Mobile Equipment Identity), reversely generating a half-byte verification sequence, and comparing to generate a reversibility verification mark; intercepting a model allocation code TAC based on the reversibility verification mark, and querying a model knowledge base in combination with a tail filling type label to obtain model information; and combining 15-bit specification IMEI, TAC and model information into a work order demand identification triple, and writing the triple into a work order structured field to complete package of work order demand identification data.

This application relates to a method, apparatus, control chip, air conditioner, and storage medium for calculating fixed-point number division. The method includes: obtaining a fixed-point number to be calculated, wherein the fixed-point number to be calculated includes a first value as the dividend and a second value as the divisor; mapping the first value and the second value to a preset fixed-point format respectively to obtain a third value and a fourth value represented by the preset fixed-point format, wherein the data convergence efficiency of the preset fixed-point format is higher than the data convergence efficiency of the original format of the fixed-point number to be calculated; extracting a value of a preset bit width starting from the least significant bit of the fourth value, and determining the extracted value as a fifth value; performing iterative calculation on the third value and the fifth value until the current value meets a first preset condition, and stopping the iterative calculation; and determining the division result corresponding to the fixed-point number to be calculated based on the third value obtained from the final iterative calculation. This can improve the efficiency of fixed-point number division calculation.

The application provides a method and device for recording retries in business processing, an electronic device and a storage medium, wherein the method comprises: obtaining an associated record related to a target task to be executed, wherein the associated record contains a current retry number of a method function corresponding to the target task, a current time, and an interval duration between the current time and a next execution time; storing the associated record to a first preset table and running the target task; and moving the associated record to a second preset table or a third preset table according to a target number obtained after scanning the associated record according to a running result and a target thread, wherein the target number is a value obtained by increasing the preset number to the current retry number after the method function is called the preset number of times based on the interval duration. Through the application, the problem of leaving no trace of retries and being unable to query the retry record in time in the subsequent process in the related art is solved.