CN114969059B - Method and device for generating order information, electronic equipment and storage medium - Google Patents
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Abstract
The invention provides a method and a device for generating order information, electronic equipment and a storage medium, which can be applied to the technical field of computers. The method for generating order information comprises the following steps: determining a calculation type and a plurality of data to be calculated according to the user identification and the current time information; determining a processing rule according to the calculation type; preprocessing a plurality of data to be calculated to obtain order information arrays respectively corresponding to each data to be calculated; processing the plurality of order information arrays by using a processing rule to obtain a plurality of target elements and a target index value corresponding to each target element; and determining target order information according to the plurality of target elements and the plurality of target index values.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method, a device, electronic equipment, a storage medium and a program product for generating order information.
Background
In generating order information, calculation and storage for a plurality of data are involved. Due to the fact that the number of numbers included in order information needing to be generated is increased, the order information including a plurality of numbers cannot be generated and stored by the current tool for generating the order information.
Disclosure of Invention
In view of the foregoing, the present invention provides a method, an apparatus, an electronic device, a storage medium, and a program product for generating order information.
According to a first aspect of the present invention, there is provided a method of generating order information, comprising: determining a calculation type and a plurality of data to be calculated according to the user identification and the current time information; determining a processing rule according to the calculation type; preprocessing a plurality of data to be calculated to obtain order information arrays respectively corresponding to each data to be calculated; processing the plurality of order information arrays by using a processing rule to obtain a plurality of target elements and a target index value corresponding to each target element; and determining target order information according to the plurality of target elements and the plurality of target index values.
According to the embodiment of the invention, the determining the calculation type and the plurality of data to be calculated according to the user identification and the current time information comprises the following steps: determining a calculation type and preset order information according to the user identification; under the condition that the calculation type is determined to be the first type, preset order information and current time information are used as a plurality of data to be calculated; and under the condition that the calculation type is determined to be the second type, determining a plurality of data to be calculated according to the calculation type, the preset order information and the current time information.
According to the embodiment of the invention, preprocessing a plurality of data to be calculated to obtain the order information arrays respectively corresponding to each data to be calculated comprises: constructing a plurality of first null arrays, wherein each first null array comprises a plurality of first index values; for each first null array, determining elements to be calculated corresponding to each first index value according to a plurality of numbers included in the data to be calculated and the bit number corresponding to each number; and determining an order information array according to the plurality of elements to be calculated and the plurality of first index values.
According to an embodiment of the present invention, processing the plurality of order information arrays using the processing rule to obtain a plurality of target elements and a target index value corresponding to each target element includes: constructing a second null array, wherein the second null array comprises a plurality of second index values; sequentially processing each element to be calculated and each first index value included in the order information array by using a processing rule to obtain a plurality of pre-target elements corresponding to a plurality of second index values; and determining, for the second empty array, a plurality of target elements and a target index value corresponding to each target element according to the plurality of pre-target elements and the plurality of second index values.
According to the embodiment of the invention, sequentially processing each element to be calculated and each first index value included in the order information array by using the processing rule to obtain a plurality of pre-target elements corresponding to a plurality of second index values comprises: sorting the plurality of first index values; determining a target first index value from the plurality of first index values according to the processing rule and the order of the plurality of first index values; taking an element to be calculated corresponding to the target first index value as an element for starting calculation; and according to the sequence of the first index values, sequentially processing each element to be calculated and each first index value from the element by using a processing rule to obtain a plurality of pre-target elements corresponding to the second index values.
According to an embodiment of the present invention, for the second empty array, determining the plurality of target elements and the target index value corresponding to each target element according to the plurality of pre-target elements and the plurality of second index values comprises: determining a bit order determination rule according to the processing rule; processing the plurality of pre-target elements by using a bit order determination rule to obtain a plurality of target elements; and determining a target index value corresponding to each target element according to the plurality of second index values and the plurality of target elements.
According to an embodiment of the present invention, determining the target order information according to the plurality of target elements and the plurality of target index values comprises: sorting the plurality of target index values; and splicing the target elements according to the sequence of the target index values to obtain target order information.
Another aspect of the present invention provides an apparatus for generating order information, including: the first determining module is used for determining a calculation type and a plurality of data to be calculated according to the user identification and the current time information; the second determining module is used for determining a processing rule according to the calculation type; the first processing module is used for preprocessing a plurality of data to be calculated to obtain order information arrays corresponding to each data to be calculated; the second processing module is used for processing the plurality of order information arrays by using the processing rule to obtain a plurality of target elements and a target index value corresponding to each target element; and a third determining module for determining the target order information according to the plurality of target elements and the plurality of target index values.
Another aspect of the present invention provides an electronic device, including: one or more processors; a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the above-described method of generating order information.
The fourth aspect of the present invention also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described method of generating order information.
The fifth aspect of the present invention also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described method of generating order information.
According to the invention, a plurality of data to be calculated are determined based on the user identification and the current time information, and the data to be calculated are converted into the order information array. The invention provides a processing rule for calculating an order information array, and corresponding operation is carried out on the order information array according to the processing rule to obtain a target array. According to the target array, order information is determined. Thereby enabling the generation and storage of order information comprising a larger number of bits.
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The foregoing and other objects, features and advantages of the invention will be apparent from the following description of embodiments of the invention, which proceeds with reference to the accompanying drawings, in which:
FIG. 1 schematically illustrates an application scenario diagram of a method, apparatus, electronic device, storage medium and program product for generating order information according to an embodiment of the present invention;
FIG. 2 schematically illustrates a flow diagram of a method of generating order information according to an embodiment of the invention;
3A-3C schematically illustrate a schematic diagram of a method of generating an array of order information according to an embodiment of the invention;
4A-4F schematically illustrate a schematic diagram of a method of generating order information according to another embodiment of the invention;
fig. 5 is a block diagram schematically showing the construction of an apparatus for generating order information according to an embodiment of the present invention; and
fig. 6 schematically shows a block diagram of an electronic device adapted to implement the method of generating order information according to an embodiment of the invention.
Detailed Description
Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. It is to be understood that such description is merely illustrative and not intended to limit the scope of the present invention. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the invention. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "A, B and at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include, but not be limited to, systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
The embodiment of the invention provides a method for generating order information, which comprises the steps of determining a calculation type and a plurality of data to be calculated according to a user identifier and current time information; determining a processing rule according to the calculation type; preprocessing a plurality of data to be calculated to obtain order information arrays respectively corresponding to each data to be calculated; processing the plurality of order information arrays by using a processing rule to obtain a plurality of target elements and a target index value corresponding to each target element; and determining target order information according to the plurality of target elements and the plurality of target index values.
Fig. 1 schematically shows an application scenario diagram of a method, an apparatus, an electronic device, a storage medium, and a program product for generating order information according to embodiments of the present invention.
As shown in fig. 1, the application scenario 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.
It should be noted that the method for generating order information provided by the embodiment of the present invention may be generally executed by the server 105. Accordingly, the apparatus for generating order information provided by the embodiment of the present invention may be generally disposed in the server 105. The method for generating order information provided by the embodiment of the present invention may also be executed by a server or a server cluster that is different from the server 105 and is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the apparatus for generating order information provided in the embodiment of the present invention may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
The method for generating order information according to the disclosed embodiment will be described in detail below with reference to fig. 2 to 4F based on the scenario described in fig. 1.
Fig. 2 schematically shows a flow chart of a method of generating order information according to an embodiment of the invention.
As shown in FIG. 2, the method for generating order information of this embodiment includes operations S210-S250, and the method for generating order information may be performed by a server.
In operation S210, a calculation type and a plurality of data to be calculated are determined according to the user identifier and the current time information.
According to the embodiment of the invention, when a user transacts business through a client, a business transaction request is sent to a server, and the business transaction request comprises a user identifier. And when receiving the user identification, the server acquires the current time information.
The user type library stores a user type corresponding to the user identifier and a calculation type corresponding to the user type in advance. The user type may include, for example, information characterizing user ratings, such as senior member users, middle member users, general users, and the like. The types of computations may include, for example, addition, subtraction, multiplication, division, squaring, and symmetric encryption algorithms, among others. For example, associating a user type of a middle member user with a computing type of squaring.
And according to the received user identification, determining the user type corresponding to the user identification from the user level library, and further determining the corresponding calculation type. And determining a plurality of data to be calculated according to the calculation type and the user identification.
It should be noted that the service handling request may further include, for example, a service identifier. And pre-storing a user type corresponding to the user identification and the service identification and a calculation type corresponding to the user type in a user type library. Therefore, according to the user identification and the service identification, the corresponding user type is determined from the user level library, and then the corresponding calculation type is determined. And determining a plurality of data to be calculated according to the calculation type, the user identification and the service identification.
According to another embodiment of the present invention, operation S210 further includes: determining a calculation type and preset order information according to the user identification; under the condition that the calculation type is determined to be the first type, preset order information and current time information are used as a plurality of data to be calculated; and under the condition that the calculation type is determined to be the second type, determining a plurality of data to be calculated according to the calculation type, the preset order information and the current time information.
And configuring the data category participating in the calculation for each calculation type in advance. For example, when the calculation type is addition, the data types involved in the calculation are preset order information and current time information, and when the calculation type is square, the data types involved in the calculation are preset order information. The preset order information may be, for example, a randomly generated number.
When the data category participating in the calculation is two or more, determining the calculation type corresponding to the data category participating in the calculation as a first type. When the data category participating in the calculation is one, the calculation type corresponding to the data category participating in the calculation is determined as a second type.
For example, in the case where it is determined that the calculation type is the first type, the determined preset order information and the received time information are taken as the data to be calculated that participates in the calculation. And under the condition that the calculation type is determined to be the second type, determining the data to be calculated according to the preset order information and the current time information. And determining a plurality of data to be calculated according to the calculation type and the data to be calculated. For example, when the calculation type is square, a numerical value obtained by adding the current time information to the preset order information is used as data to be calculated in advance, and the data to be calculated are respectively used as two data to be calculated.
In operation S220, a processing rule is determined according to the calculation type.
According to the embodiment of the invention, a corresponding preset processing rule is set in advance for each calculation type. And taking a preset processing rule corresponding to the calculation type as a processing rule.
The processing rules include data calculation rules and bit order determination rules. The data calculation rules may include, for example, calculation rules for between each digit in the plurality of data to be calculated. The bit order determination rule may include, for example, a determination rule for each digit in result data obtained based on data to be calculated.
In operation S230, a plurality of data to be calculated are preprocessed, so as to obtain order information arrays corresponding to each data to be calculated.
According to the embodiment of the invention, a plurality of data to be calculated are processed by utilizing a first format conversion method to obtain a plurality of corresponding arrays, and each array is determined as an order information array. The first format conversion method may be, for example, any method that can convert data into an array. The order information array comprises a plurality of elements to be calculated and a first index value corresponding to each element to be calculated.
In operation S240, the plurality of order information arrays are processed using the processing rule, resulting in a plurality of target elements and a target index value corresponding to each target element.
According to the embodiment of the invention, each element to be calculated in each order information array is processed by using the processing rule, so that a plurality of target elements and a target index value corresponding to each target element are obtained.
According to another embodiment of the present invention, operation S240 further includes: constructing a second null array, wherein the second null array comprises a plurality of second index values; sequentially processing each element to be calculated and each first index value included in the order information array by using a processing rule to obtain a plurality of pre-target elements corresponding to a plurality of second index values; and determining, for the second empty array, a plurality of target elements and a target index value corresponding to each target element according to the plurality of pre-target elements and the plurality of second index values.
The empty array may be, for example, an array whose elements are empty. And processing each element to be calculated in each order information array by using a data calculation rule in the processing rule to obtain a pre-target element. Meanwhile, a target element and a target index value corresponding to the target element are determined according to the pre-target element and the first index value corresponding to the element to be calculated participating in calculation each time by using a bit order determination rule.
In operation S250, target order information is determined according to the plurality of target elements and the plurality of target index values.
According to the embodiment of the invention, the target array is obtained according to the target elements and the target index values. And determining format information of the target order information according to the service handling request. And under the condition that the format information is determined to be in a data format, processing the target array by using a second format conversion method to obtain target data, determining the target data as target order information and sending the target order information to the client. The second format conversion method may be, for example, any method that can convert an array into data. And under the condition that the format information is determined to be the array format, determining that the target array is the target order information and sending the target order information to the client.
According to another embodiment of the present invention, after determining the target array, it is determined whether the target array can be represented in a data format. And under the condition that the target array can be represented in a data format, processing the target array by using a second format conversion method to obtain target data, and determining the target data as target order information to be sent to the client. And under the condition that the target array cannot be represented in a data format, sending the target array as target order information to the client.
According to another embodiment of the present invention, operation S250 further includes: sorting the plurality of target index values; and splicing the target elements according to the sequence of the target index values to obtain target order information.
Sorting the plurality of target index values; and splicing the target elements according to the sequence of the target index values to obtain a target array. And determining target order information according to the target array.
Determining the target order information from the target array may include, for example: and under the condition that the format information is determined to be in a data format, processing the target array by using a second format conversion method to obtain target data, determining the target data as target order information and sending the target order information to the client. And under the condition that the format information is determined to be the array format, determining that the target array is the target order information and sending the target order information to the client.
Determining the target order information according to the target array may further include, for example: and under the condition that the target array can be represented in a data format, processing the target array by using a second format conversion method to obtain target data, and determining the target data as target order information to be sent to the client. And under the condition that the target array cannot be represented in a data format, sending the target array as target order information to the client.
FIGS. 3A-3C schematically illustrate a schematic diagram of a method of generating an array of order information according to an embodiment of the invention.
According to the embodiment of the present invention, the preprocessing the plurality of data to be calculated to obtain the order information arrays corresponding to each data to be calculated respectively includes: constructing a plurality of first null arrays, wherein each first null array comprises a plurality of first index values; for each first null array, determining elements to be calculated corresponding to each first index value according to a plurality of numbers included in the data to be calculated and the bit number corresponding to each number; and determining an order information array according to the plurality of elements to be calculated and the plurality of first index values.
Fig. 3A schematically shows a first null array. The first null data includes a plurality of null elements and a first index value corresponding to each null element. If shown in fig. 3A, each empty element has a first index value corresponding to the empty element. The first index value may include, for example, A [0], A [1], A [2], A [3], A [4], A [5], A [6], A [7], …, A [ n ], n being an integer greater than 7. For a last empty element 301 of the plurality of empty elements, a first index value corresponding to the last empty element 301 is a [0]. For a first null element 302 of the plurality of null elements, a first index value corresponding to the first null element 302 is a [ n ], and n is an integer greater than 7.
Fig. 3B schematically shows data to be calculated (1 … 85469238) 311. Each array in the data to be calculated 311 and the number of bits corresponding to each array are determined. For example, in the data 311 to be calculated, the number 8 is the last bit, the number 3 is the second last bit, the number 2 is the third last bit, …, and the number 1 is the first bit. The number of digits in the data 311 to be calculated is determined. And the number of the number is used as n in the first null array.
The bit order of each digit in the data to be calculated (1 … 85469238) 311 and the first index value included in the first null array are in one-to-one correspondence in order. And determining each number as an element to be calculated in turn according to the bit number of each number. As shown in FIG. 3C, the last bit in the data to be calculated (1 … 85469238) 311 corresponds to the first index value A [0] of the first empty array, and the last bit 8 is determined as the element to be calculated 321. Similarly, the element to be calculated corresponding to the first index value A [1] is determined to be 3; determining the element to be calculated corresponding to the first index value A [2] as 2; determining the element to be calculated corresponding to the first index value A [3] as 9; determining the element to be calculated corresponding to the first index value A [4] to be 6; determining the element to be calculated corresponding to the first index value A [5] to be 4; determining an element to be calculated corresponding to the first index value A [6] as 5; determining the element to be calculated corresponding to the first index value A [7] to be 8; the element to be calculated 322 corresponding to the first index value a n is determined to be 1.
It will be understood by those skilled in the art that the foregoing embodiments are merely examples, and the number of bits of the data to be calculated in the present invention may be randomly determined, and the value of n in the first null array may be randomly determined, but is not limited thereto.
Fig. 4A to 4F schematically show a schematic diagram of a method of generating order information according to another embodiment of the present invention.
According to the embodiment of the present invention, sequentially processing each element to be calculated and each first index value included in the order information array by using the processing rule to obtain a plurality of pretarget elements corresponding to a plurality of second index values further includes: sorting the plurality of first index values; determining a target first index value from the plurality of first index values according to the processing rule and the order of the plurality of first index values; taking an element to be calculated corresponding to the target first index value as an element for starting calculation; and according to the sequence of the first index values, sequentially processing each element to be calculated and each first index value from the element by using a processing rule to obtain a plurality of pre-target elements corresponding to the second index values.
FIG. 4A schematically shows one ordered array of order information, FIG. 4B schematically shows another ordered array of order information, and FIG. 4C schematically shows a second empty array. The invention calls the sorted order information array shown in fig. 4A as a first order information array, and calls the sorted order information array shown in fig. 4B as a second order information array.
As shown in fig. 4A, the first order information array includes n elements to be calculated and a first index value corresponding to each element to be calculated. For example, the element to be computed (8) 401 corresponding to the first index value A [0 ]; an element (3) to be calculated corresponding to a first index value A [1 ]; an element (2) to be calculated corresponding to a first index value A [2 ]; an element (9) to be calculated corresponding to the first index value A [3 ]; an element (6) to be calculated corresponding to the first index value A [4 ]; an element (4) to be calculated corresponding to a first index value A [5 ]; an element to be calculated (5) corresponding to a first index value A [6 ]; an element (8) to be calculated corresponding to a first index value A [7 ]; an element (1) to be computed corresponding to a first index value A [ n ] is determined 402.
As shown in fig. 4B, the second order information array includes m elements to be calculated and a first index value corresponding to each element to be calculated. For example, the element to be computed (4) 411 corresponding to the first index value B [0 ]; an element to be calculated (6) corresponding to a first index value B [1 ]; an element (2) to be calculated corresponding to a first index value B [2 ]; an element (9) to be calculated corresponding to a first index value B [3 ]; an element to be calculated (6) corresponding to a first index value B [4 ]; an element (4) to be calculated corresponding to a first index value B [5 ]; an element (5) to be calculated corresponding to a first index value B [6 ]; an element (8) to be calculated corresponding to a first index value B [7 ]; the element (1) to be computed corresponding to the first index value B [ m ] is determined 412.
As shown in FIG. 4C, a second null array is constructed, which includes a second index value and a plurality of null elements. The second index value may include, for example, C [0], C [1], C [2], C [3], C [4], C [5], C [6], C [7], …, C [ t ], t being an integer greater than 7. For a last empty element 421 of the plurality of empty elements, a second index value corresponding to the last empty element 421 is C [0]. For a first null element 422 of the plurality of null elements, a second index value corresponding to the first null element 422 is C [ t ], and t is an integer greater than 8.
And under the condition that the calculation type is multiplication, processing each element to be calculated in the first order information array and the second order information array by using a data calculation rule in the determined processing rule to obtain a plurality of target elements.
For example, the element to be calculated (8) 401 corresponding to the first index value A [0] in the first order information array is taken as the target first index value. And taking the element (4) 411 to be calculated corresponding to the first index value B [0] in the second order information array as a target first index value. And (3) operating each element to be calculated by using a processing rule of multiplication from the element to be calculated (8) 401 and the element to be calculated (4) 411 to obtain a pretarget element.
As shown in fig. 4D to 4E, the element to be calculated (8) 401 and the element to be calculated (4) 411 are processed by using the processing rule of multiplication, and the result data is determined to be 32. The first index value corresponding to the element to be calculated (8) 401 is A [0], the first index value corresponding to the element to be calculated (4) 411 is B [0], and the resultant data is two-digit, and since the sum of 0 and 0 is 0, the tail digit 2 is taken as the pretarget element 431 corresponding to the second index value C [0], and the second last digit 3 is taken as the pretarget element corresponding to the second index value C [1 ]. Since this calculation does not involve other second index values and null elements, no other null elements are updated, and the second index value C t remains corresponding to null element 432.
According to another embodiment of the present invention, for the second empty array, determining the plurality of target elements and the target index value corresponding to each target element according to the plurality of pre-target elements and the plurality of second index values comprises: determining a bit order determination rule according to the processing rule; processing the plurality of pre-target elements by using a bit order determination rule to obtain a plurality of target elements; and determining a target index value corresponding to each target element according to the second index value and the plurality of target elements.
The bit order determination rule may be, for example, decimal. After determining the pre-target element (2) 431 corresponding to the second index value C [0] and the pre-target element 3 corresponding to the second index value C [1], the element to be calculated (4) 411 corresponding to the first index value B [0] and the element to be calculated (3) corresponding to the first index value A [1] are processed by using a processing rule of multiplication, and the result data is determined to be 12. Since the sum of 0 and 1 is 1, the tail digit 2 is taken as the pretarget element corresponding to the second index value C [1], and the digit 1 is taken as the pretarget element corresponding to the second index value C [2 ]. Since the pre-target element 3 corresponding to the second index value C1 is already present, the pre-target element 3 and the pre-target element 2 corresponding to the second index value C1 are processed using the processing rules of multiplication, and the unique and target element 5 corresponding to the second index value C1 is determined. Since the pretarget element (2) 441 corresponding to the second index value C [0] is not updated, the pretarget element (2) 441 corresponding to the second index value C [0] is unchanged. At the same time, the second index value of C [ t ] still corresponds to null element 442. Similarly, a pretarget element corresponding to each second index value is determined.
As shown in fig. 4F, after the processing is completed for each element to be calculated in the first order information array and the second order information array, the second index value is used as a target index value, and the pre-target element corresponding to the second index value is used as a target element, so as to obtain a target element (2) 451 corresponding to a target index value C [0 ]; a target element (3) corresponding to a target index value C1; a target element (8) corresponding to a target index value C2; a target element (0) corresponding to a target index value C3; a target element (8) corresponding to a target index value C4; a target element (5) corresponding to a target index value C [5 ]; a target element (5) corresponding to a target index value C6; a target element (8) corresponding to a target index value C [7], and a target element (9) 452 corresponding to a target index value C [ t ].
It will be understood by those skilled in the art that the above embodiments are only examples, and the number of the order information arrays and the number of the elements to be calculated in each order information array in the present invention are not limited thereto.
Based on the method for generating the order information, the invention also provides a device for generating the order information. The apparatus will be described in detail below with reference to fig. 5.
Fig. 5 is a block diagram schematically illustrating a structure of an apparatus for generating order information according to an embodiment of the present invention.
As shown in fig. 5, the apparatus 500 for generating order information of this embodiment includes a first determining module 510, a second determining module 520, a first processing module 530, a second processing module 540, and a third determining module 550.
The first determining module 510 is configured to determine a calculation type and a plurality of data to be calculated according to the user identifier and the current time information. In an embodiment, the first determining module 510 may be configured to perform the operation S210 described above, which is not described herein again.
According to the embodiment of the present invention, the first determining module 510 is further configured to determine a calculation type and preset order information according to the user identifier; under the condition that the calculation type is determined to be the first type, preset order information and current time information are used as a plurality of data to be calculated; and under the condition that the calculation type is determined to be the second type, determining a plurality of data to be calculated according to the calculation type, the preset order information and the current time information.
The second determining module 520 is used for determining the processing rule according to the calculation type. In an embodiment, the second determining module 520 may be configured to perform the operation S220 described above, which is not described herein again.
The first processing module 530 is configured to pre-process a plurality of data to be calculated to obtain an order information array corresponding to each data to be calculated. In an embodiment, the first processing module 530 may be configured to perform the operation S230 described above, which is not described herein again.
According to an embodiment of the present invention, the first processing module 530 is further configured to construct a plurality of first null arrays, where each of the first null arrays includes a plurality of first index values; for each first null array, determining elements to be calculated corresponding to each first index value according to a plurality of numbers included in the data to be calculated and the bit number corresponding to each number; and determining an order information array according to the plurality of elements to be calculated and the plurality of first index values.
The second processing module 540 is configured to process the plurality of order information arrays by using the processing rule, so as to obtain a plurality of target elements and a target index value corresponding to each target element. In an embodiment, the second processing module 540 may be configured to perform the operation S240 described above, which is not described herein again.
According to an embodiment of the present invention, the second processing module 540 is further configured to construct a second null array, where the second null array includes a plurality of second index values; sequentially processing each element to be calculated and each first index value included in the order information array by using a processing rule to obtain a plurality of pre-target elements corresponding to a plurality of second index values; and determining, for the second empty array, a plurality of target elements and a target index value corresponding to each target element according to the plurality of pre-target elements and the plurality of second index values.
According to an embodiment of the present invention, the second processing module 540 is further configured to sort the plurality of first index values; determining a target first index value from the plurality of first index values according to the processing rule and the order of the plurality of first index values; taking an element to be calculated corresponding to the target first index value as an element for starting calculation; and according to the sequence of the first index values, sequentially processing each element to be calculated and each first index value from the element by using a processing rule to obtain a plurality of pre-target elements corresponding to the second index values.
According to an embodiment of the present invention, the second processing module 540 is further configured to determine a bit order determination rule according to the processing rule; processing the plurality of pre-target elements by using a bit order determination rule to obtain a plurality of target elements; and determining a target index value corresponding to each target element according to the second index value and the plurality of target elements.
The third determining module 550 is configured to determine the target order information according to the plurality of target elements and the plurality of target index values. In an embodiment, the third determining module 550 may be configured to perform the operation S250 described above, and is not described herein again.
According to an embodiment of the present invention, the third determining module 550 is further configured to order the plurality of target index values; and splicing the target elements according to the sequence of the target index values to obtain target order information.
According to an embodiment of the present invention, any plurality of the first determining module 510, the second determining module 520, the first processing module 530, the second processing module 540, and the third determining module 550 may be combined into one module to be implemented, or any one of them may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of other modules and implemented in one module. According to an embodiment of the present invention, at least one of the first determining module 510, the second determining module 520, the first processing module 530, the second processing module 540, and the third determining module 550 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware, and firmware, or any suitable combination of any of them. Alternatively, at least one of the first determining module 510, the second determining module 520, the first processing module 530, the second processing module 540 and the third determining module 550 may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.
Fig. 6 schematically shows a block diagram of an electronic device adapted to implement the method of generating order information according to an embodiment of the invention.
As shown in fig. 6, an electronic device 600 according to an embodiment of the present invention includes a processor 601 which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. Processor 601 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 601 may also include onboard memory for caching purposes. Processor 601 may include a single processing unit or multiple processing units for performing the different actions of the method flows according to embodiments of the present invention.
In the RAM603, various programs and data necessary for the operation of the electronic apparatus 600 are stored. The processor 601, the ROM602, and the RAM603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flow according to the embodiments of the present invention by executing programs in the ROM602 and/or RAM 603. Note that the program may also be stored in one or more memories other than the ROM602 and the RAM 603. The processor 601 may also perform various operations of method flows according to embodiments of the present invention by executing programs stored in one or more memories.
The present invention also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the present invention.
According to embodiments of the present invention, the computer readable storage medium may be a non-volatile computer readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to an embodiment of the present invention, a computer-readable storage medium may include the ROM602 and/or the RAM603 described above and/or one or more memories other than the ROM602 and the RAM 603.
Embodiments of the invention also include a computer program product comprising a computer program comprising program code for performing the method illustrated in the flow chart. When the computer program product runs in a computer system, the program code is used for causing the computer system to realize the method for generating order information provided by the embodiment of the invention.
The computer program performs the above-described functions defined in the system/apparatus of the embodiment of the present invention when executed by the processor 601. The above described systems, devices, modules, units, etc. may be implemented by computer program modules according to embodiments of the invention.
In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed in the form of a signal on a network medium, downloaded and installed through the communication section 609, and/or installed from the removable medium 611. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program, when executed by the processor 601, performs the above-described functions defined in the system of an embodiment of the present invention. The above described systems, devices, apparatuses, modules, units, etc. may be implemented by computer program modules according to embodiments of the present invention.
According to embodiments of the present invention, program code for executing a computer program provided by embodiments of the present invention may be written in any combination of one or more programming languages, and in particular, the computer program may be implemented using a high level procedural and/or object oriented programming language, and/or an assembly/machine language. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In situations involving remote computing devices, the remote computing devices may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to external computing devices (e.g., through the internet using an internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It will be appreciated by persons skilled in the art that features described in the various embodiments and/or claims of the invention may be combined and/or coupled in any number of ways, even if such combinations or couplings are not explicitly described in the invention. In particular, various combinations and/or combinations of features recited in various embodiments and/or claims of the present invention can be made without departing from the spirit and teachings of the invention. All such combinations and/or associations fall within the scope of the present invention.
The embodiments of the present invention have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the invention is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the invention, and these alternatives and modifications are intended to fall within the scope of the invention.
Claims (8)
1. A method of generating order information, comprising:
determining a calculation type and a plurality of data to be calculated according to the user identification and the current time information;
determining a processing rule according to the calculation type;
preprocessing the plurality of data to be calculated to obtain order information arrays corresponding to each data to be calculated; the order information array comprises a plurality of elements to be calculated and a plurality of first index values respectively corresponding to the elements to be calculated; the plurality of elements to be calculated comprise a plurality of numbers included in the data to be calculated;
processing the plurality of order information arrays by using the processing rule to obtain a plurality of target elements and a target index value corresponding to each target element; and
determining target order information based on the plurality of target elements and the plurality of target index values,
wherein processing the plurality of order information arrays using the processing rule comprises:
constructing a second null array, wherein the second null array comprises a plurality of second index values;
sequentially processing each element to be calculated and a first index value corresponding to each element to be calculated, which are included in the plurality of order information arrays, by using the processing rule to obtain a plurality of pre-target elements corresponding to the plurality of second index values; and
for the second empty array, determining a plurality of target elements and a target index value corresponding to each target element according to the plurality of pre-target elements and the plurality of second index values;
wherein, for the second empty array, determining a plurality of target elements and a target index value corresponding to each target element according to the plurality of pre-target elements and the plurality of second index values comprises:
determining a bit order determination rule according to the processing rule;
processing the plurality of pre-target elements by using the order determination rule to obtain a plurality of target elements; and
and determining a target index value corresponding to each target element according to the plurality of second index values and the plurality of target elements.
2. The method of claim 1, wherein the determining a calculation type and a plurality of data to be calculated according to the user identifier and the current time information comprises:
determining a calculation type and preset order information according to the user identification;
under the condition that the calculation type is determined to be a first type, the preset order information and the current time information are used as a plurality of data to be calculated; and
and under the condition that the calculation type is determined to be a second type, determining a plurality of data to be calculated according to the calculation type, the preset order information and the current time information.
3. The method according to claim 1, wherein the preprocessing the plurality of data to be calculated to obtain the order information arrays respectively corresponding to each data to be calculated comprises:
constructing a plurality of first null arrays, wherein each first null array comprises a plurality of first index values;
for each first null array, determining elements to be calculated corresponding to each first index value according to a plurality of numbers included in the data to be calculated and the bit number corresponding to each number; and
and determining an order information array according to the plurality of elements to be calculated and the plurality of first index values.
4. The method according to claim 1, wherein the sequentially processing each element to be calculated and each first index value included in the order information array by using the processing rule to obtain a plurality of pretarget elements corresponding to the plurality of second index values comprises:
sorting the plurality of first index values;
determining a target first index value from the plurality of first index values according to the processing rule and an order of the plurality of first index values;
taking an element to be calculated corresponding to the target first index value as an element for starting calculation; and
and according to the sequence of the plurality of first index values, sequentially processing each element to be calculated and each first index value from the element by using the processing rule to obtain a plurality of pre-target elements corresponding to the plurality of second index values.
5. The method of claim 1, wherein said determining target order information from said plurality of target elements and a plurality of target index values comprises:
sorting the plurality of target index values; and
and splicing the target elements according to the sequence of the target index values to obtain target order information.
6. An apparatus to generate order information, comprising:
the first determining module is used for determining a calculation type and a plurality of data to be calculated according to the user identification and the current time information;
the second determining module is used for determining a processing rule according to the calculation type;
the first processing module is used for preprocessing the plurality of data to be calculated to obtain order information arrays respectively corresponding to the data to be calculated; the order information array comprises a plurality of elements to be calculated and a plurality of first index values respectively corresponding to the elements to be calculated; the plurality of elements to be calculated comprise a plurality of numbers included in the data to be calculated;
the second processing module is used for processing the plurality of order information arrays by using the processing rule to obtain a plurality of target elements and a target index value corresponding to each target element; and
a third determining module for determining target order information according to the plurality of target elements and the plurality of target index values,
wherein the second processing module is further configured to:
constructing a second null array, wherein the second null array comprises a plurality of second index values;
sequentially processing each element to be calculated and a first index value corresponding to each element to be calculated, which are included in the plurality of order information arrays, by using the processing rule to obtain a plurality of pre-target elements corresponding to the plurality of second index values; and
for the second empty array, determining a plurality of target elements and a target index value corresponding to each target element according to the plurality of pre-target elements and the plurality of second index values;
wherein the second processing module is further configured to:
determining a bit order determination rule according to the processing rule;
processing the plurality of pre-target elements by using the order determination rule to obtain a plurality of target elements; and
and determining a target index value corresponding to each target element according to the plurality of second index values and the plurality of target elements.
7. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1~5.
8. A computer readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the method of any of claims 1~5.
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