CN106157075A - The generation method and apparatus of application data - Google Patents

Abstract

The embodiment of the present application discloses a kind of generation method applying data.The method includes: generates one group and meets the random sample being distributed the most very much；According to the order carrying out to center choosing from the two ends being distributed the most very much, choose N number of random sample, so that the numerical value summation of the N number of random sample finally chosen is M；With the numerical value of N number of random sample chosen for applying the numerical value of data, generate N number of application data；Wherein, the number of the random sample of generation is the fewest, and the numerical value of application data is the most uniform, the number of the random sample generated is the most, and the numerical value of application data is the most irregular, and N is total number of desired application data, M is the total value of desired application data, and the meansigma methods being distributed the most very much is M/N.By the application, the problem that the user's experience that can solve to cause due to the uncontrollability of numerical value of application data in prior art reduces.The embodiment of the present application also discloses a kind of generating means applying data.

Description

The generation method and apparatus of application data

Technical field

The application relates to computer application field, particularly relates to apply the generation method and apparatus of data.

Background technology

At present, the various application products of the Internet exist the application that such a is novel.This application is first Produce multiple application data, and, each application data has respective numerical value, will produce the most again Raw multiple application data are distributed to multiple different user and use.

One of which distributes mode, and the user of this application first sets the application needing to distribute in this application Total number of data and total value, but do not set the concrete numerical value of each application data.Generating During application data, the numerical value of each application data is all this application stochastic generation, and the size of numerical value is not Determine.For getting the user of application data, its application data that can get how much numerical value are complete It is unknown entirely, it may be possible to the application data of a big numerical value, it is also possible to be the application of a fractional value Data.

A kind of concrete manifestation form of this application is exactly the APP for distributing electronic gift.Wherein, electronics Gift includes but not limited to electronics red packet.Such as, the operator of e-commerce website can increase in its APP Add electronics red packet distributes function, and by this function, the operator of e-commerce website can be to its user Distribute electronics red packet, or, electricity can be distributed mutually by this function between the user of e-commerce website Sub-red packet.

As a example by electronics red packet, a kind of electronics red packet distributes in mode wherein, as already mentioned previously, The user distributing electronics red packet only sets total number and the total amount of electronics red packet, but does not set each The concrete amount of money of individual electronics red packet, and the amount of money of each the electronics red packet ultimately generated also is different. For each user getting electronics red packet, its electronics red packet that can get how much amount of money is entirely Unknown, it may be possible to the red packet of a big amount of money, it is also possible to the red packet of a little amount of money.

During realizing the application, inventors herein have recognized that in prior art, at least existence is as follows Problem: when this application generates multiple application data, the numerical value of application data is randomly generated, and it can Can generate the biggest application data of numerical value and the least application data of multiple numerical value, it is also possible to The application data that multiple numeric ratio is average can be generated.It is to say, the numerical value of application data is likely to be The most uneven, it is also possible to be the most uniform.That is, the uniformity of the numerical value of application data is not Controllable.But, for developing the operator of the e-commerce website of this application function, utilize The application data that this random fashion generates are not the most its desired application data generated.Such as, It wishes to generate smaller application the data of one group of numerical value uniformity, but actually generate is one group of numerical value The application data that the uniformity is bigger；Or, it wishes to generate the application that one group of numerical value uniformity is bigger Data, but actually generate is the smaller application data of one group of numerical value uniformity.

Summary of the invention

In order to solve above-mentioned technical problem, the embodiment of the present application provides generation method and the dress of application data Put, cannot meet with solve prior art causes owing to the uniformity of numerical value of application data is uncontrollable The problem of the demand of the operator of e-commerce website.

The embodiment of the present application discloses following technical scheme:

A kind of generation method applying data, including:

Generate one group and meet the random sample being distributed the most very much；

According to the order carrying out to center choosing from the two ends being distributed the most very much, choose N number of random sample, with The numerical value summation making the N number of random sample finally chosen is M；

With the numerical value of N number of random sample chosen for applying the numerical value of data, generate N number of application data；

Wherein, the number of the random sample of generation is the fewest, application data numerical value the most uniform, generation with Press proof number originally is the most, and the numerical value of application data is the most irregular, and N is total number of desired application data, M is the total value of desired application data, and the meansigma methods being distributed the most very much is M/N.

Preferably, when the numerical value of described application data has smallest limit value and maximum upper limit, described The N number of random sample finally chosen be numerical value meet described smallest limit value and maximum upper limit with press proof This.

Preferably, described according to the order carrying out to center choosing from the two ends being distributed the most very much, choose N number of Random sample, so that the numerical value summation of the N number of random sample chosen is user's desired application data Total value, including:

N-1 random sample is chosen according to the order carrying out to center from the two ends being distributed the most very much choosing, and The numerical value of N-1 the random sample chosen meets described smallest limit value and maximum upper limit, so that using Difference between the total value of the desired application in family data and the numerical value summation of N-1 random sample chosen Meet described smallest limit value and maximum upper limit；

Choosing last random sample, the numerical value of last random sample described is that user is desired answers By the difference between the total value of data and the numerical value summation of N-1 random sample chosen.

Preferably, described generation one group meets the random sample being distributed the most very much, including:

Generate one group of random number；

Described one group of random number is transformed to one group and meets the random sample being distributed the most very much.

Preferably, described method also includes:

In response to getting the request applying data, from the N number of application data generated, randomly select one not Distribution application data and be allocated.

A kind of generating means applying data, including:

Sample generation unit, meets, for generating one group, the random sample being distributed the most very much；

Unit chosen by sample, for according to the order carrying out to center choosing from the two ends being distributed the most very much, choosing Take N number of random sample, so that the numerical value summation of the N number of random sample finally chosen is M；

Electronic gift signal generating unit, the gold that the numerical value for the N number of random sample to choose is application data Volume, generates N number of application data；

Wherein, the number of the random sample of generation is the fewest, application data numerical value the most uniform, generation with Press proof number originally is the most, and the numerical value of application data is the most irregular, and N is total number of desired application data, M is the total value of desired application data, and the meansigma methods being distributed the most very much is M/N.

Preferably, when the numerical value of described application data has smallest limit value and maximum upper limit, described The N number of random sample finally chosen be numerical value meet described smallest limit value and maximum upper limit with press proof This.

Preferably, described sample is chosen unit and is included:

First chooses subelement, for selecting according to the order carrying out to center from the two ends being distributed the most very much choosing Take N-1 random sample, and the numerical value of N-1 the random sample chosen meet described smallest limit value and Maximum upper limit, so that the total value of user's desired application data and N-1 the random sample chosen Numerical value summation between difference meet described smallest limit value and maximum upper limit；

Second chooses subelement, is used for choosing last random sample, last random sample described The numerical value summation of the total value that numerical value is user's desired application data and N-1 the random sample chosen Between difference.

Preferably, described sample generation unit includes:

Generating random number subelement, for generating one group of random number；

Varitron unit, for described one group of random number is transformed to one group meet be distributed the most very much with press proof This.

Preferably, described device also includes:

Application data allocation unit, in response to getting the request applying data, N number of from generation should With data randomly selecting unappropriated application data and being allocated.

As can be seen from the above-described embodiment, compared with prior art, the advantage of the application is:

In this application, build one group and meet the random sample being distributed the most very much, according to random sample the most too Distribution characteristics in distribution, chooses random sample according to from the two ends being distributed the most very much to the order at center, and The numerical value that the numerical value of the random sample to choose is application data.And when determining application by such mode During the numerical value of data, it is possible to utilize the number of the random sample generated to control to apply the numerical value of data The uniformity.Wherein, the number of the random sample of generation is the fewest, the numerical value difference of the random sample chosen Property the least, and apply the numerical value of data the most uniform, be finally likely to produce numeric ratio is closer to should Use data.Otherwise, the number of the random sample of generation is the most, the numerical value difference of the random sample chosen Property the biggest, and apply the numerical value of data the most irregular, be finally likely to produce that numerical value is very big and number It is worth the least application data.It is thereby achieved that the controllability of the uniformity of the numerical value of application data, from And the most just solve in prior art due to the uniformity of numerical value of application data uncontrollable caused cannot The problem meeting the demand of the operator of e-commerce website.

Accompanying drawing explanation

In order to be illustrated more clearly that the embodiment of the present application or technical scheme of the prior art, below will be to reality Execute the required accompanying drawing used in example or description of the prior art to be briefly described, it should be apparent that below, Accompanying drawing in description is only some embodiments of the application, for those of ordinary skill in the art, On the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.

Fig. 1 schematically shows the exemplary application that presently filed embodiment can be implemented within Scene；

Fig. 2 schematically shows the stream of a kind of generation method applying data according to the embodiment of the present application Cheng Tu；

Fig. 3 schematically shows the generation according to the embodiment of the present application and meets the random sample being distributed the most very much The flow chart of method；

Fig. 4 schematically shows one group of random sample according to the embodiment of the present application in the most too distribution Distribution schematic diagram；

Fig. 5 schematically shows another group random sample according to the embodiment of the present application in the most too distribution Distribution schematic diagram；

Fig. 6 schematically shows the schematic diagram of a kind of the most too distribution curve according to the embodiment of the present application；

Fig. 7 schematically shows the schematic diagram of the most too distribution curve of the another kind according to the embodiment of the present application；

Fig. 8 schematically shows the knot of a kind of generating means applying data according to the embodiment of the present application Structure frame diagram；

Fig. 9 diagrammatically illustrates the knot of the generating means of the another kind of application data according to the embodiment of the present application Structure frame diagram.

Detailed description of the invention

Schematically showing presently filed embodiment with reference first to Fig. 1, Fig. 1 can be real wherein The exemplary application scene executed.Wherein, user A and user B is respectively on its respective electronic equipment It is mounted with to apply the client (i.e. client 10 and client 20) of APP, this application APP collects Become to realize electronics red packet and distribute and got function, and, the client account of user A and user A Bank card account binding.When user A wants by client 10 to many including user B When position good friend distributes electronics red packet, user A opens client 10, and specifies electricity in client 10 Total number of sub-red packet and total amount, client 10 sends red packet to the server 30 of application APP Generation request 11, carries total number of the electronics red packet that user specifies and total in this request 11 The amount of money.As response, to the server 40 of bank, (server 40 is the silver of user A to server 30 Server belonging to row card account) send transfer request 31, in this request 31, carry user A Bank card account and transfer amounts (that is, the total amount of electronics red packet), server 40 according to please Ask 31 from the bank card account of user A, money transfer is proceeded to the Third-party payment that server 40 is supported Platform, and return to server 30 and transfer accounts response 41, and indicate in this response 41 and transfer accounts successfully. It is red that total number of the electronics red packet that server 30 is specified according to user and total amount generate one group of electronics Bag, and be that this group electronics red packet generates a red packet mark X, the return of the most backward client 10 is carried red The red packet of bag mark X generates response 32.Red packet is identified X and notifies to user B, user by user A B opens client 20, and (this red packet mark X is one to input red packet mark X in client 20 Group numeral numbering) or click on red packet mark X (this red packet mark X is a link), client 20 will send red packet to server 30 gets request 21, carries red packet mark X in this request 21, As response, server 30 randomly selects one from one group of electronics red packet indicated by red packet mark X Individual electronics red packet, and return red packet to client 20 and get response 32, carry in this response 32 The amount of money for the electronics red packet that user B chooses.Electronic equipment can be PC, it is also possible to be mobile setting Standby, such as, mobile phone or panel computer etc..Server 30 and 40 can be Web server, it is possible to To be other kinds of server, such as APP server.It will be understood by those skilled in the art that figure Schematic diagram shown in 1 is only the example that presently filed embodiment can be achieved wherein. The range of application of the application embodiment is not limited by any aspect of this framework.Such as, except can Outside in existing application APP, integrated electronic red packet distributes and gets function, it is also possible to by list Only application APP realizes electronics red packet and distributes and get function.It addition, said method is except fitting Outside electronics red packet, it is applied equally to other electronics being distributed by Internet technology and getting Gift.

Understandable, below in conjunction with the accompanying drawings for enabling the above-mentioned purpose of the application, feature and advantage to become apparent from The embodiment of the present application is described in detail.

Embodiment of the method

Refer to Fig. 2, Fig. 2 and schematically show a kind of life applying data according to the embodiment of the present application The flow chart of one-tenth method, such as, the method can be performed by server 30, and the method such as includes following Step:

Step 201: generate one group and meet the random sample being distributed the most very much.

In this application, as it is shown on figure 3, above-mentioned steps 201 may include that

Step 2011: generate one group of random number；

Step 2012: described one group of random number is transformed to one group and meets the random sample being distributed the most very much.

Wherein it is possible to use any one generating random number mode to generate one group of random number, then can adopt By any one the most too distribution transformation method, this group random number is transformed to what one group of conformance with standard was distributed the most very much Random sample.

For example, it is possible to use conventional Box-Muller to convert one group of random number between 0 and 1 It is transformed to one group and meets the random sample being distributed the most very much.Certainly, convert for Box-Muller, need raw Become one group of random number between 0 and 1, or, after generating one group of random number, by random for this group Number conversion is the value between 0 and 1.

Wherein, in Box-Muller converts, it is assumed that to generate 10 random between 0 and 1 Number:

x1、x2、x3、x4、x5

y1、y2、y3、y4、y5

Then calculate:

$z1=\sqrt{-2\ln \left(x_1\right)}\×\sin (2\mathrm{\π}\×y_1)$

$z2=\sqrt{-2\ln \left(x_1\right)}\×\cos (2\mathrm{\π}\×y_1)$

$z3=\sqrt{-2\ln \left(x_x\right)}\×\sin (2\mathrm{\π}\×y_2)$

$z4=\sqrt{-2\ln \left(x_2\right)}\×\cos (2\mathrm{\π}\×y_2)$

$z5=\sqrt{-2\ln \left(x_3\right)}\×\sin (2\mathrm{\π}\×y_3)$

$z6=\sqrt{-2\ln \left(x_3\right)}\×\cos (2\mathrm{\π}\×y_3)$

$z7=\sqrt{-2\ln \left(x_4\right)}\×\sin (2\mathrm{\π}\×y_4)$

$z8=\sqrt{-2\ln \left(x_4\right)}\×\cos (2\mathrm{\π}\×y_4)$

$z9=\sqrt{-2\ln \left(x_5\right)}\×\sin (2\mathrm{\π}\×y_5)$

$z10=\sqrt{-2\ln \left(x_5\right)}\×\cos (2\mathrm{\π}\×y_5)$

And z1..z10 is 10 obedience standards and is distributed the most very much the random sample of N (0,1).

Certainly, by the way, it is also possible to obtain that greater number of conformance with standard is distributed the most very much is random Sample.After obtaining the random sample that conformance with standard is distributed the most very much, can be obtained by μ+σ × z process Meeting the random sample being distributed the most very much N (μ, σ), wherein, z is the random sample that standard is distributed the most very much N (0,1).

In this application, being distributed the most very much the average value mu=M/N of N (μ, σ), M is desired application data Total value, N is total number of desired application data.

Step 202: according to the order carrying out to center choosing from the two ends being distributed the most very much, choose N number of with Press proof basis, so that the numerical value summation of the N number of random sample finally chosen is M.

Step 203；With the numerical value of N number of random sample chosen for applying the numerical value of data, generate N number of Application data.

Wherein, the number of the random sample of generation is the fewest, application data numerical value the most uniform, generation with Press proof number originally is the most, and the numerical value of application data is the most irregular, and N is total number of desired application data, M is the total value of desired application data, and the meansigma methods being distributed the most very much is M/N.

It should be understood that in this application, when μ and σ being distributed the most very much immobilizes, generation random The number of sample is the most, if choosing random sample from the two ends being distributed the most very much to center, finally chooses To random sample be likely to compare and concentrate on the two ends of the most too distribution curve, as shown in Figure 4.It is visible, The number of the random sample generated is the most, and the possible diversity of the numerical value of the random sample chosen is the biggest, when During using the numerical value of random sample chosen as the numerical value of application data, the numerical value of application data is also got over Irregular, i.e. to be finally likely to produce the application that data are very big and numerical value is the least.On the contrary, generate The number of random sample the fewest, if choosing random sample from the two ends being distributed the most very much to center, The random sample chosen eventually is likely to be evenly distributed on whole the most too distribution curve, as shown in Figure 5. Visible, the number of the random sample of generation is the fewest, and the numerical value of the random sample chosen may diversity be got over Little, when the numerical value of the random sample that will choose is as the numerical value applying data, the numerical value of application data The most uniform, i.e. to be finally likely to produce the application that numeric ratio is closer to.Therefore, in this application, It it is the uniformity utilizing the number of the random sample generated to control to apply the numerical value of data.

Wherein, application data can be any one form, can by the electronic gift of the Internet transmission, The numerical value of application data is the amount of money of electronic gift.Such as, application data can be electronics red packet.

It should be noted that the uniformity of the numerical value of data can also be controlled to apply by adjusting σ value.Its In, when the number of the random sample generated immobilizes, σ is the biggest, and the most too distribution more dispersion, such as Fig. 6 Shown in, choosing in the case of random sample from the two ends being distributed the most very much to center, finally choose with The press proof numerical difference opposite sex originally is the biggest, i.e. the numerical value of application data is the most irregular；σ is the least, is distributed the most very much More concentrate, as it is shown in fig. 7, choosing in the case of random sample from the two ends being distributed the most very much to center, The numerical difference opposite sex of the random sample finally chosen is the least, i.e. the numerical value of application data is the most uniform.

But, it is contemplated that if σ value controls bad, can cause being difficult to even cannot select numerical value summation can To reach the random sample of the total value of desired application data.Therefore, in this application, σ value is set It is a fixed value, but utilizes the number of random sample generated to control to apply numerical value equal of data Evenness.And the application does not the most limit the concrete numerical value of σ, as long as setting it to a fixed value. Such as, σ=0.1.

It addition, in this application, it is possible to use N × sc+1 represents the number of the random sample of generation, wherein, N is total number of desired application data.Obviously, the number of the random sample of generation is by the size of sc certainly Fixed, sc is the biggest, and the number of the random sample of generation is the most, otherwise, sc is the least, the random sample of generation Number the fewest.In concrete application, the random sample that can control to generate by the size of regulation sc Number.

Additionally, when according to when choosing random sample from the two ends being distributed the most very much to the order at center, the application The most not limiting and specifically choose which random sample, the numerical value of the N number of random sample finally chosen is total With the total value for desired application data.

Such as, describe for convenience, it is assumed that need to select 6 random samples, as shown in Figure 4, can With first choose the most too distribution in left and right two borderline random samples 1 and 2, and judge choose at present with Whether this numerical value summation of 1 and 2 of press proof exceeds the total value of desired application data, without exceeding, Continue to choose the random sample 3 and 4 closest with random sample 1 and 2, and judge to choose at present random Whether the numerical value summation of sample 1,2,3 and 4 exceeds the total value of desired application data, if still Without departing from, continue to choose the random sample 5 and 6 closest with random sample 3 and 4, and judge at present Whether the numerical value summation of the random sample 1,2,3,4,5 and 6 chosen is beyond desired application data Total value, if it was exceeded, first discard random sample 6, and chooses random sample 7 (or with press proof These are 8 years old), and judge the random sample 1,2,3,4,5 and 7 (or random sample 8) chosen at present Whether numerical value summation exceeds the total value of desired application data, without exceeding, and random sample 1, 2, the numerical value summation of 3,4,5 and 7 is just equal to the total value of desired application data, stops choosing.

In addition, it is contemplated that may wish to the numerical definiteness of each application data at specific numerical value model Within enclosing, and this scope can not be exceeded.Therefore, in a preferred implementation of the application, when answering When having smallest limit value and maximum upper limit with the numerical value of data, the N number of random sample finally chosen is Numerical value meets the random sample of smallest limit value and maximum upper limit.

In order to better ensure that the N number of random sample chosen is that numerical value meets smallest limit value and maximum upper limit The random sample of value, in the preferred implementation of the application, can be first according to from being distributed the most very much The order that two ends carry out choosing to center chooses N-1 random sample, and N-1 the random sample chosen Numerical value meet described smallest limit value and maximum upper limit, so that the total value of desired application data And the difference between the numerical value summation of N-1 the random sample chosen meets described smallest limit value and maximum Higher limit；Then choosing last random sample, the numerical value of last random sample is desired answering By the difference between the total value of data and the numerical value summation of N-1 random sample chosen.

In another preferred implementation of the application, said method also includes: in response to getting application The request of data, randomly selects unappropriated application data from the N number of application data generated and goes forward side by side Row distribution.

It should be understood that due to each application data can only be allocated once, therefore, once some Application data be allocated, and cannot carry out duplicate allocation again.

As can be seen from the above-described embodiment, compared with prior art, the advantage of the application is:

In this application, build one group and meet the random sample being distributed the most very much, according to random sample the most too Distribution characteristics in distribution, chooses random sample according to from the two ends being distributed the most very much to the order at center, and The numerical value that the numerical value of the random sample to choose is application data.And should when being determined by such mode During with the numerical value of data, it is possible to utilize the number of the random sample generated to control to apply the numerical value of data The uniformity.It is thereby achieved that the controllability of the uniformity of the numerical value of application data, thus also just solve Prior art caused cannot meet open electronics owing to the uniformity of the numerical value of application data is uncontrollable The problem of the demand of the operator of business web site.

Device embodiment

Corresponding with the generation method of above-mentioned application data, the embodiment of the present application additionally provides application data Generating means.Refer to Fig. 8, Fig. 8 and schematically show a kind of application number according to the embodiment of the present application According to the structural framing figure of generating means, this device includes that unit chosen by sample generation unit 801, sample 802 and application data generating unit 803.Operation principle below in conjunction with this device is further described inside it Structure and annexation.

Sample generation unit 801, meets, for generating one group, the random sample being distributed the most very much；

Unit 802 chosen by sample, is used for according to the order carrying out to center choosing from the two ends being distributed the most very much, Choose N number of random sample, so that the numerical value summation of the N number of random sample finally chosen is M；

Application data generating unit 803, is used for the numerical value of the N number of random sample to choose for applying data Numerical value, generate N number of application data；

Wherein, the number of the random sample of generation is the fewest, application data numerical value the most uniform, generation with Press proof number originally is the most, and the numerical value of application data is the most irregular, and N is total number of desired application data, M is the total value of desired application data, and the meansigma methods being distributed the most very much is M/N.

In a preferred implementation of the application, when the numerical value of described application data has smallest limit When value and maximum upper limit, the described N number of random sample finally chosen is that numerical value meets described smallest limit Value and the random sample of maximum upper limit.

In another preferred implementation of the application, sample is chosen unit 802 and is included:

First chooses subelement, for selecting according to the order carrying out to center from the two ends being distributed the most very much choosing Take N-1 random sample, and the numerical value of N-1 the random sample chosen meet described smallest limit value and Maximum upper limit, so that the total value of user's desired application data is individual with the N-1 chosen with press proof Difference between this numerical value summation meets described smallest limit value and maximum upper limit；

Second chooses subelement, is used for choosing last random sample, last random sample described The numerical value summation of the total value that numerical value is user's desired application data and N-1 the random sample chosen Between difference.

In another preferred implementation of the application, sample generation unit 801 includes:

Generating random number subelement, for generating one group of random number；

Varitron unit, for described one group of random number is transformed to one group meet be distributed the most very much with press proof This.

In another preferred implementation of the application, as it is shown in figure 9, this device also includes:

Application data allocation unit 804, in response to getting the request applying data, from the N generated Individual application data randomly select unappropriated application data and is allocated.

As can be seen from the above-described embodiment, compared with prior art, the advantage of the application is:

In this application, build one group and meet the random sample being distributed the most very much, according to random sample the most too Distribution characteristics in distribution, chooses random sample according to from the two ends being distributed the most very much to the order at center, and The numerical value that the numerical value of the random sample to choose is application data.And when determining application by such mode During the numerical value of data, it is possible to utilize the number of the random sample generated to control to apply the numerical value of data The uniformity.It is thereby achieved that the controllability of the uniformity of the numerical value of application data, thus the most just solve Prior art caused cannot meet ecommerce owing to the uniformity of numerical value of application data is uncontrollable The problem of the demand of the operator of website.

The technical staff in described field is it can be understood that arrive, for convenience of description and succinctly, above-mentioned The specific works process of the system, device and the unit that describe, be referred in preceding method embodiment is right Answer process, do not repeat them here.

In several embodiments provided herein, it should be understood that disclosed system, device and Method, can realize by another way.Such as, the device embodiment arrived described above is only Schematically, such as, the division of described unit, it is only a kind of logic function and divides, actual when realizing Can have other dividing mode, the most multiple unit or assembly can in conjunction with or be desirably integrated into another System, or some features can ignore, or do not perform.Another point, shown or discussed each other Coupling direct-coupling or communication connection can be the INDIRECT COUPLING by some interfaces, device or unit Or communication connection, can be being electrical, mechanical or other form.

The described unit that illustrates as separating component can be or can also be physically separate, as The parts that unit shows can be or may not be physical location, i.e. may be located at a place, or Person can also be distributed on multiple NE.Can select according to the actual needs part therein or All unit realizes the purpose of the present embodiment scheme.

It addition, each functional unit in each embodiment of the application can be integrated in a processing unit, Can also be that unit is individually physically present, it is also possible to two or more unit are integrated in a list In unit.Above-mentioned integrated unit both can realize to use the form of hardware, can use SFU software functional unit Form realize.

It should be noted that one of ordinary skill in the art will appreciate that and realize in above-described embodiment method All or part of flow process, can be by computer program and completes to instruct relevant hardware, described Program can be stored in a computer read/write memory medium, and this program is upon execution, it may include as above-mentioned The flow process of the embodiment of each method.Wherein, described storage medium can be magnetic disc, CD, read-only storage Memory body (Read-Only Memory, ROM) or random store-memory body (Random Access Memory, RAM) etc..

Above a kind of generation method and apparatus applying data provided herein is carried out detailed Jie Continuing, principle and the embodiment of the application are set forth by specific embodiment used herein, above The explanation of embodiment is only intended to help and understands the present processes and core concept thereof；Simultaneously for this The those skilled in the art in field, according to the thought of the application, the most all Will change, in sum, this specification content should not be construed as the restriction to the application.

Claims (10)

1. the generation method applying data, it is characterised in that including:

Generate one group and meet the random sample being distributed the most very much；

According to the order carrying out to center choosing from the two ends being distributed the most very much, choose N number of random sample, with The numerical value summation making the N number of random sample finally chosen is M；

With the numerical value of N number of random sample chosen for applying the numerical value of data, generate N number of application data；

Wherein, the number of the random sample of generation is the fewest, application data numerical value the most uniform, generation with Press proof number originally is the most, and the numerical value of application data is the most irregular, and N is total number of desired application data, M is the total value of desired application data, and the meansigma methods being distributed the most very much is M/N.

Method the most according to claim 1, it is characterised in that when the numerical value of described application data has When having smallest limit value and maximum upper limit, the described N number of random sample finally chosen is that numerical value meets institute State the random sample of smallest limit value and maximum upper limit.

Method the most according to claim 2, it is characterised in that described according to from two be distributed the most very much Duan Xiang center carries out the order chosen, and chooses N number of random sample, so that the N number of random sample chosen The total value that numerical value summation is user's desired application data, including:

N-1 random sample is chosen according to the order carrying out to center from the two ends being distributed the most very much choosing, and The numerical value of N-1 the random sample chosen meets described smallest limit value and maximum upper limit, so that using Difference between the total value of the desired application in family data and the numerical value summation of N-1 random sample chosen Meet described smallest limit value and maximum upper limit；

Choosing last random sample, the numerical value of last random sample described is that user is desired answers By the difference between the total value of data and the numerical value summation of N-1 random sample chosen.

Method the most according to claim 1, it is characterised in that described generation one group meets and divides the most very much The random sample of cloth, including:

Generate one group of random number；

Described one group of random number is transformed to one group and meets the random sample being distributed the most very much.

Method the most as claimed in any of claims 1 to 4, it is characterised in that described method Also include:

In response to getting the request applying data, from the N number of application data generated, randomly select one not Distribution application data and be allocated.

6. the generating means applying data, it is characterised in that including:

Sample generation unit, meets, for generating one group, the random sample being distributed the most very much；

Unit chosen by sample, for according to the order carrying out to center choosing from the two ends being distributed the most very much, choosing Take N number of random sample, so that the numerical value summation of the N number of random sample finally chosen is M；

Electronic gift signal generating unit, the gold that the numerical value for the N number of random sample to choose is application data Volume, generates N number of application data；

Wherein, the number of the random sample of generation is the fewest, application data numerical value the most uniform, generation with Press proof number originally is the most, and the numerical value of application data is the most irregular, and N is total number of desired application data, M is the total value of desired application data, and the meansigma methods being distributed the most very much is M/N.

Device the most according to claim 6, it is characterised in that when the numerical value of described application data has When having smallest limit value and maximum upper limit, the described N number of random sample finally chosen is that numerical value meets institute State the random sample of smallest limit value and maximum upper limit.

Device the most according to claim 7, it is characterised in that described sample is chosen unit and included:

First chooses subelement, for selecting according to the order carrying out to center from the two ends being distributed the most very much choosing Take N-1 random sample, and the numerical value of N-1 the random sample chosen meet described smallest limit value and Maximum upper limit, so that the total value of user's desired application data and N-1 the random sample chosen Numerical value summation between difference meet described smallest limit value and maximum upper limit；

Second chooses subelement, is used for choosing last random sample, last random sample described The numerical value summation of the total value that numerical value is user's desired application data and N-1 the random sample chosen Between difference.

Device the most according to claim 6, it is characterised in that described sample generation unit includes:

Generating random number subelement, for generating one group of random number；

Varitron unit, for described one group of random number is transformed to one group meet be distributed the most very much with press proof This.

10. according to the device described in any one in claim 6 to 9, it is characterised in that described dress Put and also include:

Application data allocation unit, in response to getting the request applying data, N number of from generation should With data randomly selecting unappropriated application data and being allocated.