Spring Framework
Q1. How filters are used in Spring Web?
- [ ] Filters are called before a request hits the DispatcherServlet.They allow for interception-style, chained processing of web requests for security, timeouts, and other purposes.
- [ ] Filters are used with a checksum algorithm that will filter invalid bytes out of a byte stream request body and allow for processing of HTTP requests from the DispatcherRequestServlet.
- [ ] Filters are used with a checksum algorithm that will filter invalid bytes out of an octet stream a multipart upload and allow for chained processing of WebDispatcherServlet requests.
- [x] Filters are used to validate request parameters out of the byte stream request body and allow for processing of requests from the DispatcherRequestServlet.
Q2. How is a resource defined in the context of a REST service?
- [ ] A resource is the actual String literal that composes a URI that is accessed on a RESTful web service.
- [x] It is an abstract concept that represents a typed object, data, relationships, and a set of methods that operate on it that is accessed via a URI.
- [ ] A REST service has a pool of resources composed of allocations of memory that allow a request to be processed.
- [ ] A resource for a REST service is an explicit allocation of a thread or CPU cycles to allow a request to be processed.
Q3. Which of these is a valid Advice annotation?
- [ ] @AfterError
- [x] @AfterReturning
- [ ] @AfterException
- [ ] @AfterExecution
Q4. What does a ViewResolver do?
- [ ] It supports internationalization of web applications by detecting a user's locale.
- [x] It generates a view by mapping a logical view name returned by a controller method to a view technology.
- [ ] It creates a unique view determined by the uers's browser type,supporting cross-browser compatibility.
- [ ] It maps custom parameters to SQL views in the database, allowing for dynamic content to be created in the response.
Q5. How are Spring Data repositories implemented by Spring at runtime?
- [ ] Spring automatically generated code for you based on your YAML config that defined a MethodInterceptor chain that intercept calls to the instance and computed SQL on the fly.
- [x] A JDK proxy instance is created, which backs the repository interface, and a MethodInterceptor intercepts calls to the instance and routes as required.
- [ ] The Spring JDK proxy creates a separate runtime process that acts as an intermediary between the database and the Web server, and intercepts calls to the instance and handles requests.
- [ ] Spring automatically generated code for you based on your XML config files that define a SpringMethodAutoGeneration factory that intercepts calls to the instance and creates dynamic method that computer SQL on the fly.
Q6. What is SpEL and how is it used in Spring?
- [ ] SpEL(Spring Expression Language) runs in the JVM and can act as a drop-in replacement for Groovy or other languages.
- [x] SpEL(Spring Expression Language) supports boolean and relational operators and regular expressions, and is used for querying a graph of objects at runtime.
- [ ] SpEL(Spring Expression Language) allows you to build, configure,and execute tasks such as building artifacts and downloading object dependencies.
- [ ] SpEL(Spring Expression Language) natively transpiles one JVM language to another, allowing for greater flexibility.
Q7. The process of linking aspects with other objects to create an advised object is called
- [ ] dynamic chaining
- [ ] banding
- [x] weaving
- [ ] interleaving
Q8. How are JDK Dynamic proxies and CGLIB proxies used in Spring?
- [x] JDK Dynamic proxy can proxy only interface, so it is used if the target implements at least one interface. A CGLIB proxy can create a proxy by subclassing and is used if the target does not implement an interface.
- [ ] Only JDK Dynamic proxies are used in the Spring Bean Lifecycle. CGLIB proxies are used only for integrating with other frameworks.
- [ ] Only CGLIB proxies are used in the Spring Bean Lifecycle. JDK Dynamic proxies are used only for integrating with other frameworks.
- [ ] JDK Dynamic proxy can only using an abstract class extended by a target. A CGLIB proxy can create a proxy through bytecode interweaving and is used if the target does not extend an abstract class.
Q9. Which of these is not a valid method on the JoinPoint interface?
- [ ] getArgs()
- [x] getExceptions()
- [ ] getSignature()
- [ ] getTarget()
Q10. In what order do the @PostConstruct annotated method, the init-method parameter method on beans and the afterPropertiesSet() method execute?
- [ ] 1. afterPropertiesSet() 2. init-method 3. @PostConstruct
- [x] 1. @PostConstruct 2. afterPropertiesSet() 3. init-method
- [ ] 1. init-method 2. afterPropertiesSet() 3. @PostConstruct
- [ ] You cannot use these methods together-you must choose only one.
Q11. What is the function of the @Transactional annotation at the class level?
- [ ] It's a transaction attribute configured by spring.security.transactions.xml config file that uses Spring's transaction implementation and validation code.
- [ ] It's a transaction must actively validate by the bytecode of a transaction using Spring's TransactionBytecodeValidator class. Default Transaction behavior rolls back on validation exception but commits on proper validation
- [x] It creates a proxy that implements the same interface(s) as the annotated class, allowing Spring to inject behaviors before, after, or around method calls into the object being proxied.
- [ ] It's a transaction that must be actively validated by Spring's TransactionValidator class using Spring's transaction validation code. Default Transaction behavior rolls back on validation exception.
Q12. Which is a valid example of the output from this code (ignoring logging statements) ?
- [x] Nothing will print
- [ ] startup init
- [ ] init
- [ ] startup
Q13. Which println statement would you remove to stop this code throwing a null pointer exception?
- [x] formatter.getClass()
- [ ] context.getClass()
- [ ] context.getBean("formatter").getClass()
- [ ] context.containsBean("formatter")
Q14. What is the root interface for accessing a Spring bean container?
- [ ] SpringInitContainer
- [ ] ResourceLoader
- [ ] ApplicationEventPublisher
- [x] BeanFactory
Q15. Which annotation can be used within Spring Security to apply method level security?
- [x] @Secured
- [ ] @RequiresRole
- [ ] @RestrictedTo
- [ ] @SecurePath


Splitting pattern of equivalent spins.
Ampl = equivsplit(I,n)
Computes the line intensity pattern of an EPR spectrum due to an S=1/2 and n nuclear spins with quantum number I. First-order perturbations are assumed.
Five spins-1/2 give a first-order splitting pattern given by
Ampl = equivsplit(1/2,5)
Ampl = 1 5 10 10 5 1
The 5 spins-1/2 give rise to 6 lines with intensity ration 1:5:10:10:5:1.
5 spins-1/2 give rise to a first-order splitting
pattern Ampl = [1 5 10 10 5 1]
according to the Pascal triangle
1 0 spins 1 1 1 spin-1/2 1 2 1 2 spins-1/2 1 3 3 1 3 spins-1/2 1 4 6 4 1 4 spins-1/2 1 5 10 10 5 1 5 spins-1/2
Any number in a given column is the sum of its two closest neighbors in the preceding row.
For spin with S>1/2, a generalized Pascal triangle is used. E.g. for spin-1
1 0 spins 1 1 1 1 spin-1 1 2 3 2 1 2 spins-1 1 3 6 7 6 3 1 3 spins-1
In general, for a spin S, any number in a given column is the sum of its 2S+1 closest neighbors in the preceding row.


Welcome to my brand new webpage.
Let me guess why you are here.
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This is a platform where users may enter a GitHub username into a form, submit it and see names and descriptions of that person's public repositories. A person can also look for repositories.
You know those moments that you are given a project or you want to do a project but have no idea of what to do?!
Well, this is the right for you. Here you can enter anyone's name on github or certain repository and access it on Github.

Followers | {{user.followers}} Public gists| {{user.public_gists}} | Public repos | {{user.public_repos}}


Dependency Graph for atmat/pubtools/LatticeTuningFunctions/correction/trajectory
GitHub Website
at
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Members
(static, constant) MultipleInput
default data source model : { value : string, checked : boolean, prefixValue : string }
(static, constant) SelectMultipleRemote
(static, constant) SelectRemote
select ajax remote component build-in with love <3 value was props into child-component automatically
(static, constant) SelectRemote2
(inner) INPUT_MAX_VALUE
Methods
(inner) FormManager(fields, default, form, layout)
Representer for form manager, build-in
Parameters:
| Name | Type | Description |
|---|---|---|
fields |
IField | define each field config |
default |
Object | define initial value |
form |
FormInstance | represented for form instance |
layout |
horizontal | vertical | optional choose horizontal or vertial layout |


Advanced topics
\[
\newcommand{\R}{\mathbb{R}}
\newcommand{\E}{\mathbb{E}}
\newcommand{\x}{\mathbf{x}}
\newcommand{\y}{\mathbf{y}}
\newcommand{\wv}{\mathbf{w}}
\newcommand{\av}{\mathbf{\alpha}}
\newcommand{\bv}{\mathbf{b}}
\newcommand{\N}{\mathbb{N}}
\newcommand{\id}{\mathbf{I}}
\newcommand{\ind}{\mathbf{1}}
\newcommand{\0}{\mathbf{0}}
\newcommand{\unit}{\mathbf{e}}
\newcommand{\one}{\mathbf{1}}
\newcommand{\zero}{\mathbf{0}}
\]
Optimization of linear methods (developer)
Limited-memory BFGS (L-BFGS)
L-BFGS is an optimization
algorithm in the family of quasi-Newton methods to solve the optimization problems of the form
$\min_{\wv \in\R^d} \; f(\wv)$
. The L-BFGS method approximates the objective function locally as a
quadratic without evaluating the second partial derivatives of the objective function to construct the
Hessian matrix. The Hessian matrix is approximated by previous gradient evaluations, so there is no
vertical scalability issue (the number of training features) unlike computing the Hessian matrix
explicitly in Newton’s method. As a result, L-BFGS often achieves faster convergence compared with
other first-order optimizations.
Orthant-Wise Limited-memory Quasi-Newton (OWL-QN) is an extension of L-BFGS that can effectively handle L1 and elastic net regularization.
L-BFGS is used as a solver for LinearRegression, LogisticRegression, AFTSurvivalRegression and MultilayerPerceptronClassifier.
MLlib L-BFGS solver calls the corresponding implementation in breeze.
Normal equation solver for weighted least squares
MLlib implements normal equation solver for weighted least squares by WeightedLeastSquares.
Given $n$ weighted observations $(w_i, a_i, b_i)$:
- $w_i$ the weight of i-th observation
- $a_i$ the features vector of i-th observation
- $b_i$ the label of i-th observation
The number of features for each observation is $m$. We use the following weighted least squares formulation:
\[
\min_{\mathbf{x}}\frac{1}{2} \sum_{i=1}^n \frac{w_i(\mathbf{a}_i^T \mathbf{x} -b_i)^2}{\sum_{k=1}^n w_k} + \frac{\lambda}{\delta}\left[\frac{1}{2}(1 - \alpha)\sum_{j=1}^m(\sigma_j x_j)^2 + \alpha\sum_{j=1}^m |\sigma_j x_j|\right]
\]
where $\lambda$ is the regularization parameter, $\alpha$ is the elastic-net mixing parameter, $\delta$ is the population standard deviation of the label
and $\sigma_j$ is the population standard deviation of the j-th feature column.
This objective function requires only one pass over the data to collect the statistics necessary to solve it. For an $n \times m$ data matrix, these statistics require only $O(m^2)$ storage and so can be stored on a single machine when $m$ (the number of features) is relatively small. We can then solve the normal equations on a single machine using local methods like direct Cholesky factorization or iterative optimization programs.
Spark MLlib currently supports two types of solvers for the normal equations: Cholesky factorization and Quasi-Newton methods (L-BFGS/OWL-QN). Cholesky factorization
depends on a positive definite covariance matrix (i.e. columns of the data matrix must be linearly independent) and will fail if this condition is violated. Quasi-Newton methods
are still capable of providing a reasonable solution even when the covariance matrix is not positive definite, so the normal equation solver can also fall back to
Quasi-Newton methods in this case. This fallback is currently always enabled for the LinearRegression
and GeneralizedLinearRegression
estimators.
WeightedLeastSquares
supports L1, L2, and elastic-net regularization and provides options to enable or disable regularization and standardization. In the case where no
L1 regularization is applied (i.e. $\alpha = 0$), there exists an analytical solution and either Cholesky or Quasi-Newton solver may be used. When $\alpha > 0$ no analytical
solution exists and we instead use the Quasi-Newton solver to find the coefficients iteratively.
In order to make the normal equation approach efficient, WeightedLeastSquares
requires that the number of features is no more than 4096. For larger problems, use L-BFGS instead.
Iteratively reweighted least squares (IRLS)
MLlib implements iteratively reweighted least squares (IRLS) by IterativelyReweightedLeastSquares. It can be used to find the maximum likelihood estimates of a generalized linear model (GLM), find M-estimator in robust regression and other optimization problems. Refer to Iteratively Reweighted Least Squares for Maximum Likelihood Estimation, and some Robust and Resistant Alternatives for more information.
It solves certain optimization problems iteratively through the following procedure:
- linearize the objective at current solution and update corresponding weight.
- solve a weighted least squares (WLS) problem by WeightedLeastSquares.
- repeat above steps until convergence.
Since it involves solving a weighted least squares (WLS) problem by WeightedLeastSquares
in each iteration,
it also requires the number of features to be no more than 4096.
Currently IRLS is used as the default solver of GeneralizedLinearRegression.


AngCalc
v1.0
A simple calculator written in AngularJS
by
sedusa
+
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=
Clear
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The documentation for the firewall configuration should be up-to-date, readily available and cover all the relevant details.
Documenting the firewall configuration is important for maintenance and security purposes. Good firewall documentation makes the PCI DSS compliance certification process simpler and may be required to pass. Documentation is also very useful when making changes to the configuration and when hiring new staff.
Make sure that the documentation for the firewall configuration is up-to-date, readily available and covers all the relevant details.
Inspect each firewall and document each configuration setting thoroughly. Delegate responsibility for maintaining up-to-date network documentation to a staff member.


This page is a digitization of one of the oldest and most comprehensive collections of Chinese vocal melodies in existence, the imperially commissioned Jiugong dacheng nanbei ci gongpu 九宮大成南北詞宮譜 (Nine Modes Comprehensive Northern and Southern Lyric Melody Manual), commonly abbreviated to Jiugong dacheng (JGDC hereafter), completed in the ninth year of the Qianlong Emperor’s reign (1744).
“Nine Modes” here indicates the comprehensive nature of the collection, as well as its organizational principle: like most Ming and early-Qing Dynasty aria manuals, it organizes pieces not by their authorship or provenance, but by region (“North” and “South”) and by traditional mode-key categories, like Xianlü diao 仙呂調 (Bb's la mode). Half a century later, Ye Tang’s 葉堂 Nashuying qupu 納書楹曲譜 (Book Storage Hall Aria Manual) would establish the precedent of arranging pieces as they would appear in a dramatic performance, reflecting the fact that, by that time, arias written as parts of dramas were much more popular for even stand-alone singing than the sanqu 散曲 (free arias) popular for much of the Ming Dynasty.
“North” and “South” is the single biggest and most significant division within the collection and refers to two large groups of pieces popular as part of Kunqu 崑曲 performance (the most popular elite singing style in the late-Ming and early-Qing periods) and included in most chuanqi 傳奇 (marvelous tales) dramas—the most popular genre of literary drama at the time. The Southern pieces are drawn especially from Song Dynasty ci 詞 (lyric) poetry and “Southern plays” (nanxi 南戲) of the late-Song, Yuan, and early-Ming periods and are typified by a pentatonic scale (“do, re, mi, sol, la”), a division between free rhythm preludes (yinzi 引子) and metered arias (zhengqu 正曲), use of slow tempi and expansive rhythmic structures like zengban 贈板 (“extra beat” or 8/4 time), and more melisma (many notes per syllable). The Northern repertory comes especially from Jin, Yuan and early-Ming Dynasty sanqu, zhu gongdiao 諸宮調 (“all keys and modes”—a prosimetric storytelling art), and zaju 雜劇 (variety dramas) and is characterized by a heptatonic scale (includes “fa” and “ti”), a stricter “suite” (taoqu 套曲) arrangement of individual melodies, less melisma (fewer notes per syllable), and faster or less strictly defined tempi and rhythmic structures.
The collection includes a combination of information about prosody (rules governing poetry/lyric writing) and music. The primary prosodic features the collection highlights are metrical versus extrametrical “padding” characters (襯字), rhyme, and the related division of poetic lines, which corresponds to an imperfect degree to the rhythmic and melodic structures. This contrasts with earlier manuals aimed more at lyricists and emphasizing the linguistic tones and pronunciation of characters over their associated melodies. Transitional works between prosodic manuals of the mid-Ming and Jiugong dacheng include late-Ming manuals like Feng Menglong’s 馮夢龍 Taixia xinzou 太霞新奏 (Celestial Airs Played Anew), which includes rhythmic notation (dianban 點板—literally, “marking the downbeats”) but no melody, and the early-Qing Nanci dinglü 南詞定律 (Fixed Pitches for Southern Lyrics), which includes downbeat and melodic gongche 工尺 (“do-re”—that is solmization) notation, but no finer rhythmic details and less of the prosodic information included in the late-Ming manuals. This trend continues in later manuals which typically do not even note the ends of poetic lines, indicating a shift in priorities (perhaps due in part to innovations in notation, music grew comparatively independent of the poetry it was written to accompany). One may view an overview comparison of prosodic features of pieces sharing the same title by clicking “prosody” in the Query Engine.
JGDC’s musical notations are unprecedented in the Chinese tradition in the level of detail they provide, though they still lack detail compared to what one would expect to find today (finer rhythmic details like the position of the “2” and the “4” (xiaoyan 小眼) in 4/4 time are not included). They consist of a combination of rhythmic (dianban) and melodic (gongche) notations, as well as numerous comments about the provenance of many pieces. Though a few works, like Taohua shan 桃花扇 (Peach Blossom Fan), may have been omitted for political reasons, JGDC nonetheless provides an unparalleled snapshot of the sound of late imperial elite musical theater and Qing Dynasty court music (Kunqu was used at the Qing court for ceremonial pieces like the Quanshan jinke 勸善金科 (Golden Statutes for Encouraging Goodness) performed on many state occasions). One may view a staff notation of the rhythm and melody of a piece, along with pronunciation according to a Kunqu dictionary, by clicking “sheet” in the Query Engine.
As stated above, the collection does not indicate finer rhythmic details, so the digitally generated staff notation defaults to e.g., “quarter note, eighth note” where there is ambiguity as to whether that or “eighth note, quarter note” would be used. Such details were thought at the time to belong to the discretion of the singer and the realm of oral transmission. Despite the mode-key categorizations, which were actually quasi-vestigial or conventional by that point, the melodic notations indicate only relative pitch movement, not absolute pitch levels. The sheet music function of the database allows one to set the key in terms of Western music major scales, with “D” as the default because it is closest to the most commonly used Kunqu scale, called xiaogong diao 小工調. One should note, however, that while this provides a reasonable approximation for how such pieces are performed today, Kunqu, along with most traditional Chinese music forms, underwent a major shift during the latter half of the twentieth century toward using Western, “equal tempered” scales (though late-Ming Prince Zhu Zaiyu 朱載堉 famously discovered formulae for equal temperament a few years ahead of the West, his ideas did not gain mainstream acceptance among the Chinese performance community).
Thus, though “D major” is basically equivalent to xiaogong diao today, it would not have been in the time JGDC was recorded. For a closer approximation of that sound one may imagine playing these scales with a bamboo flute tuned to a perfect fifth interval of either G-C or A-D (to this day most Kunqu flautists keep at least two flutes, traditionally called cidi 雌笛 and xiongdi 雄笛, for these two important intervals, thereby allowing easy playing of the most common scales) and the rest of the notes in the scale close to evenly spaced relative to those notes, albeit slightly lower than A=440. So, for example, a traditional xiaogong diao scale, instead of D, E, F#, G, A, B, C# would be more like D, E, F#-, G+, A, B, C#-, with the “mi” and the “ti” particularly low compared to what one hears today and the “fa” (here G) relatively high (using “fa sharp” instead of “fa” is still common in Kunqu flute playing today). This type of tuning is still used in a few Chinese regional arts and is similar to that used today in some Persian and Turkish music, perhaps reflecting Central Asian influence in the medieval period.
The “Query Engine” page consists of two separate search bars which may be used in combination, along with a set of tools for analyzing various aspects of the pieces and/or lines selected using the two search bars. Near the top of the page is a search bar for narrowing the selection of pieces (the “Select Songs” search bar). Below the list of pieces is a search bar used to look for parts of pieces fitting certain parameters, such as the appearance of a particular pattern of tones or melody (the “Filter Lines” search bar). Below that are tools for analyzing the selected pieces/segments.
The “Select Songs” search bar understands the following queries, which may be combined:
id: the songs in the collection are numbered based on the page they appear in within the Shanben xiqu congkan edition (when more than one song appears on the same page they are numbered like 300.1, 300.2). To find the first piece on page 3300 type id:3300.1
title: the title of the song (qupai 曲牌). To find all pieces with qupai name 山桃紅 type title:山桃紅
region: narrows the collection to one of the two regional styles. To narrow to only Northern pieces (北曲) type region:n; for only Southern pieces (南曲) type region:s
mode: narrows by traditional mode-key category. To find only pieces categorized as 仙呂宮 type mode:仙呂宮. One may further narrow Southern pieces here by adding 引 for preludes, 正曲 for metered arias, or 集曲 for pastiche arias and Northern pieces by adding 隻曲 for stand-alone arias or 套曲 for Northern suites. Thus one may search for e.g., mode:仙呂宮集曲 or mode:仙呂調套曲 (several mode-key names have a “Northern” and a “Southern” variant, the Southern generally ending in 宮 and the Northern in 調).
source: narrows by the source of piece. May include the name of an author of ci 詞 poetry, a chuanqi drama like 牡丹亭, 散曲 for stand-alone art songs, 元人百種 for Yuan zaju dramas. To find any ci poems composed by 周邦彥 type source:周邦彥詞. To find all pieces from 牡丹亭 type source:牡丹亭.
lyrics: Find any piece with a particular phrase as part of the lyrics. To find all pieces with the lyrics 春夢 type lyrics:春夢
melody: Find any piece with a particular sequence of gongche characters as part of the melody. To find all pieces containing 伬仜伬 type melody:伬仜伬
padding: Filter pieces by the total number of padding characters. To find pieces with no padding characters type padding:0. To find pieces with exactly 10 padding characters type padding:10. To find pieces with 30 or more padding characters type padding:30+
One may combine queries within the top search bar. For example, to look for all Northern pieces from the play 長生殿 type region:n source:長生殿
The “Filter Lines” search bar filters lines and parts of pieces by the following parameters:
melody: search for a melodic pattern. 1=do (上 in gongche notation), 2=re (尺 in gongche notation), etc. To find all lines with melodic pattern do-re-mi-re-mi type melody:12323; one may also click the “find motifs” button to find repeating melodic patterns ordered from longest to shortest within all the selected pieces/lines.
fuzzy: search for melodic strings with some margin for variability. Between any pair of the specified notes, there may be at most 3 intervening notes. For example: fuzzy:65323 would match against 6x53xx2xx3, but not 6xxxx5323.
tone: search for strings of characters belonging to a particular tone. Tones may defined with less or greater specificity. For example, 平仄平 or 平去平. 陰 and 陽 tones may also be specified optionally. For example, to find all strings of tone 陽平陽平陰平上去 type tone:陽平陽平陰平上去
tonemelody: search for patterns of tone and melody appearing together. To find all cases where tonal pattern 平平去 corresponds to melodic pattern mi, mi, la-sol, type tonemelody:平3平3去65
padding: search for lines with a particular number of padding characters. To find all lines with 6 padding characters type padding:6
length: find all lines of a certain length (in terms of number of Chinese characters). To find all lines of length 8 type length:8
Count Padding Characters Box: the default is not to count padding characters for purposes of analysis of e.g. where a particular rhythmic marker appears. Check this box to count the padding characters. For example, if a given poetic line begins with three padding characters and is followed by five metrical characters the first metrical character will count as character “1” while the box is unchecked but count as character “4” when the box is checked.
Motifs: Find repeating melodic patterns within selected pieces, ordered from longest to shortest
Tone: Produces a bar graph analyzing the interaction of tone with melodic contour. One may enter a specific tone, such as 平, 上, 去, or 入 to see the melodic contour associated with that tone. Melodic contours are described in terms of + and -. Therefore, if a particular character with 平 tone begins on do and ends on re that will be counted as a melodic contour of +1 associated with 平tone.
Rhythm: Analyzes appearance of rhythmic markers 。, 、, _, ▯, L, ﹆, and ╚.
Entering 。into the bar here, for example, will show the frequency with which that rhythmic marker appears at certain positions in a poetic line. Click “show as percent” to control for the fact that e.g. there are fewer “character 9s” in the collection than “character 3s.”
Line Lengths: This tool simply shows the frequency of appearance of lines of various length within the selected pieces or line. Within the full collection the most common line length is 7 characters, followed by 4.


With over 26 years of software experience including Cloud Architect, I have a proven track record in architecting and implementing robust cloud solutions. Since 2018, my focus has shifted towards becoming a leading expert in machine learning, data science, IoT and related fields. As a certified Python and Machine Learning engineer, I specialize in leveraging cloud technologies to develop cutting-edge machine learning models and data-driven solutions. My unique blend of cloud architecture expertise and recent immersion in data science empowers me to deliver innovative, scalable, and high-impact solutions that drive business success.
Dhiraj, it has been a real pleasure to have you as part of my team. You are very passionate about what you do, and always make every effort to deliver great results. The work you did with CNNs (convolutional neural networks) was amazing. Although you did not have much background in it initially, you jumped in, learned it rapidly and then developed solutions using the technology. That is the aspect I enjoyed very much about you - ability to comprehend problems and find meaningful solutions quickly. You are a great team mate to have on any team. I wish you the best in everything you do.
Dhiraj is a very technical person I have worked with who thinks over the complex system in a very organised manner. His work style is always appreciated and clear. He never leaves things in between but tries to get his responsibilities done irrespective of the pressure in that phase of development. Good job and keep it up Dhiraj.
Dhiraj is very result oriented.
He is one of the best programmer I have came across. I had chance to work with him in one project and his understanding towards business and technology really amazed me. If you are looking for technology person with good understanding of business, he is your goto man..I wish him all the best and success.
Very smart in open source technology.
Dhiraj was one of the main architects of Carambola Kidz' bespoke production and online ordering system in 2006. The basic structure is still functioning and relevant today. Dhiraj can add value to any organization looking for quality IT work. Colm Founder and MD, Carambola.ie
Dhiraj has very good knowledge and experience in Open Source tools like PHP and has very good Architectural skills. He is good in monitoring development activities and project progress -Managing, mentoring and providing technical guidance/support to project teams. He is a self learner.
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Indira Gandhi National Open University, New Delhi, India
Computer and Information Sciences, General
Indira Gandhi National Open University, New Delhi, India
Certificate in Computing and Preparatory course in Math for MCA.
BU, WB, India
Bachelor in Commerce.
CP, WB, India
Post Graduate Diploma in System Management.
Several from different univ/institutions
Python
Several from different univ/institutions
Git
SCRUM
Several from different univ/institutions
AWS
Udemy
Machine Learning
IIT-Roorkee
Machine Learning
Analytics Vidhya
Data Science
Coursera
Data Science
FTCSolar, Bengaluru
Accionlabs, Bengaluru
Freelance, Remote
Different companies in Hederabad & Bangalore, India
Different companies in Hederabad, India & Antwerp, Belgium
Different companies in Kolkata, India & Ireland
Different companies in India
Cloud-Native Architecture: Cloud-native architecture is designed to leverage the flexibility, scalability, and reliability of cloud platforms. Serverless Computing. Continuous Integration and Continuous Deployment (CI/CD). Artificial Intelligence (AI) and Machine Learning (ML). Edge Computing. Low-Code and No-Code Development.
Accessing the right data at the right time is essential at every level of your organization. This is only possible with a well-crafted database structured to collect, organize, and relate key data points. Database design, data warehousing, data migration, and data conversion are primary data services offered by our team.
I have years expertise in to create scalable AWS, Azure and GCP Architecture end to end. Whether it is microservices or serverless architecute. I gurrantee the best architecture solution within your budget. Most organizations rely on a suite of software to manage their business. Connecting multiple applications via APIs, scripts, and other automation tasks is challenging and requires the level of strategic engineering executed with quality code our team provides.
Take the initiative for patented R&D projects in AI, ML, IoT, Drone and Cloud. Analysis, architecture, development and mentoring junior teams are daily routines of my work.
I possess a wealth of expertise in developing sophisticated cloud applications using Django and Flask frameworks. Over the course of 16 years, I have consistently delivered exceptional results by creating a diverse range of applications, spanning from small-scale solutions to large and complex systems. My proficiency extends beyond mere technical implementation; I specialize in architecting cloud-native applications that align seamlessly with modern development paradigms. My hands-on experience in crafting Django and Flask applications has empowered me to effectively leverage the power of these frameworks to meet diverse business needs. I have a proven track record of translating intricate requirements into elegant, robust, and scalable applications that stand the test of time. In addition to my technical acumen, my approach to software development emphasizes best practices and industry standards. I have cultivated a deep understanding of not only the technical aspects but also the strategic considerations that underpin successful cloud application development. This includes considerations for security, performance optimization, maintainability, and seamless integration with other cloud services.
My profound expertise extends to the realms of IoT and Edge AI, where I bring a robust skill set to develop and deploy intelligent systems that seamlessly merge connected devices with state-of-the-art artificial intelligence algorithms. This integration occurs at the network edge, enabling advanced data processing, real-time analytics, and automated decision-making capabilities that redefine the possibilities of modern technology. Within the realm of IoT, my adeptness lies in orchestrating the interconnectivity of diverse devices, enabling them to seamlessly communicate and share data. I have successfully engineered solutions that harness the potential of IoT to provide businesses with insights previously inaccessible, transforming raw data into actionable intelligence. My approach emphasizes the design of scalable, secure, and efficient architectures that accommodate the dynamic nature of IoT ecosystems. Furthermore, my mastery in Edge AI amplifies the capabilities of IoT systems by embedding AI algorithms directly at the edge of the network. This strategic placement empowers devices to perform real-time analysis of sensor data without relying on central processing, reducing latency and enhancing responsiveness. I have demonstrated the ability to implement cutting-edge machine learning and deep learning models that process data locally, enabling intelligent decision-making even in resource-constrained environments.
Bengaluru, Karnataka, India


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Thank you for choosing Noetic Psychiatry.
Please complete the checklist below as part of your check-in.
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This application saves requests for disposing of surplus property. It is written on the .NET MVC platform.
Copyright 2015 Virginia Tech under the MIT License.


Common Elements
Welcome to Falcon applicationHorizontal Form
Vertical Form
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a button
a button


In soccer, a Golden Boot is one of the most important individual trophies awarded to a player that managed to score the most goals during a league season. Likewise, Champion is the title awarded to a team that earned the most amount of points throughout a season. Let's repeat it again: individual award — for goals, team award — for points.
There is an indirect relationship between the goals and points. If only there was a "translator" from goals to the points, we could've ended up with a useful metric that measured players' success on the same scale as the teams'. If patiently scrolled throughout the page, the author will try to explain his (naive, simple, subjective) idea on how we could measure both the team and the player success on the scale that matters the most: by number of points.
This is what an English Premier League table looked like at the end of 2008-2009 season. The #1 ranked team - Manchester U - won the league title. Let's look at the anatomy of how a team wins the title.
The ultimate metric to identify a champion is the number of POINTS (pts) earned by a team throughout a season. At the end of the season a team with the most points becomes a champion.
Points are earned by WINNING (w) or DRAWING (d) a game.
A winning team earns three points, a losing team gets zero points. In case of a draw, each team is awarded a point.
A team wins a game if it scores more goals than its opponent. GOALS FOR (gf) stat in this table is the total number of goals scored by a team throughout the season.
Some of these goals are more "responsible" for team points than the others. For every played game, let's attribute team's earned POINTS to A GOAL that is responsible for a win or a tie in that game.
If a team won a game, it is awarded three points. Now, the objective is to find a goal that secured those points.
For the purpose of this analysis, let's attribute the winning team's three points to the goal that ensured the victory: the goal scored to put the winning team in the lead (similar to ice hockey's definition of game winning goal).
Example: in a 5-0 game, the game winnnig goal would be the first goal
Example: in a 5-2 game, the game winnnig goal would be the third goal scored by the winning team
In case of a draw, each team earns one point. Let's attribute ONE point to the goal (one for each team, if any goals were scored) that ensured score equality.
Example: in a 3-3 game, the third goal scored by each team are the tying goals
942 goals were scored in 2008/2009 Premier League season. Using the method described above, let's assign points to the goals that made the difference.
98 goals have tied the game and each is attributed with ONE point.
264 goals ensured victories for their teams, each one is attributed with THREE points.
Now that all goals scored have been assigned their corresponding points, we can find which player actually "scored most points"
For context, here is what a Golden Boot standings look like: Anelka has won it with 19 scored goals.
When players are sorted by their point contributions, Defoe and Lampard are ahead of everyone. Although Defoe scored only 11 goals, his team benefited from his six game-winning and one game-tying goals. That is 19 points, that makes him tie for the first place in this Golden-mutant boot standings.
For comparison, the Golden Boot winner had only 13 points.
Dear Premier League FA, please give Defoe and Lampard an award they deserved in 2008/2009 season.
👉


The deadline is XX XXX XXXX. Claims made before this date will allow you to have access to dots as soon as the Polkadot mainnet is launched.
If you miss the deadline, there is a separate claims process that you can go through (similar to the current Kusama claims process - https://polkadot.js.org/apps/#/claims) which will allow you to claim your dots. You will gain access to your dots very shortly thereafter (most likely within a minute). This process will work indefinitely after the launch of Polkadot’s main network and beyond the genesis block.
If you have already purchased dots, you do not yet have access to them. Your “right” to a certain number of dots is currently stored on the Ethereum blockchain as dot allocation indicator tokens. The claims process exists to transform those allocation indicator tokens into dots.
As part of this claims process you first need to create a Polkadot address, and then prove that you are both the owner of the Ethereum address and the owner of the Polkadot address. After proving that you have access to the dots linked to the Ethereum address, the correct number of dots will be allocated to your address on the Polkadot blockchain.
You can review the addresses associated with the contract at 0xb59f67a8bff5d8cd03f6ac17265c550ed8f33907 (https://etherscan.io/address/0xb59f67a8bff5d8cd03f6ac17265c550ed8f33907) here
https://etherscan.io/token/0xb59f67a8bff5d8cd03f6ac17265c550ed8f33907#balances
If you still have problems, you may contact the Web3 Foundation (email<EMAIL_ADDRESS>) for further assistance.
There are a variety of ways to generate Polkadot addresses, with different security, convenience and other tradeoffs. They are listed here: (link to address generation)
If you participate in the claims process before XX XXX XXXX, your dots will be included in the genesis block. This means that you will have access to them as soon as the Polkadot blockchain launches.
If you claim the dots using the alternative claims process after launch, then you will receive your dots shortly after submitting your claim. This process should take less than a minute.
You should receive a message immediately after attempting to claim your dots, indicating the success or failure of the claim. Once the Polkadot mainnet is running, you can use (https://polkadot.js.org/apps/#/accounts) to verify that your account has the expected number of dots.
If you purchased your dot tokens in the pre-sale, you are entitled to the same number of Kusama tokens as well. You may claim these through a different process separate from this claim page. See (https://guide.kusama.network/en/latest/start/claims/) for detailed instructions.
Yes. Kusama is a completely separate network from Polkadot so any claims for kusamas do not apply to Polkadot or dots. If you already made a claim for kusamas, please make a new claim for dots.


The Crownstone app does not known which BLE devices are actually your Crownstones. For the initial setup process it will need to query the Crownstone servers for this information. Your email address and password will be stored on the Homey.
This is a beta implementation. The way multiple homes or home and office are supported is through multiple spheres. We obtain the sphere id by checking where your smartphone resides. If you use multiple smartphones it picks the first one (via the currentSphereId field at the Crownstone cloud endpoint /users/$user_id/devices).


Ocean water simulation based on a sum of sine functions approach for calculate a height map and real-time surface orientation from GPU in a vertex shader.
2D Water body simulation based on the Smoothed Particle Hydrodynamic (SPH) method with leapfrog integrator computed from CPU using JavaScript and ThreeJS Library.
Humans set under rigorous test an alien specie but suddenly an unexpected event occur in the laboratory.
Apprentice of graphic programming, who is enthusiastic about parallel computing and the simulation of physical phenomena in real time.
Lover of programing and enthusiastic learner of physics simulations and Android development.


Meaning of the settings
The registry settings correspond to the options
in the configuration dialog. It follows a description of the valid settings in the registry
key of the GINA: HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Winlogon\AgreementGINA.
The GINA will be notified as soon as you change some setting. In this case it
will immediately apply the new setting!
- AdminSkips (REG_DWORD):
Valid values are 0 (deactivated) and 1 (activated).
Sets whether the admin will be shown the agreement or the news. Default is: deactivated.
- AllowOnlyGuest (REG_DWORD):
Valid values are 0 (deactivated) and 1 (activated).
Limits the logon to admins and the specified account only. The specified account
is being logged on immediately. Logging off results in logging on that account once
more (except if overridden).
IMPORTANT: combining this mode with
a restriction for the "guest" account (such as "deny local logon") will result in
an infinite loop of reboots which can be interrupted by the override sequence F1.

- BtnNoText (REG_SZ):
Valid values: any text no longer than 15 characters (it should fit the button width).
Sets text of the "No" button in the the agreement dialog.
Note: you may use the & to create keyboard shortcuts to the buttons/checkbox.
Prepend the intended letter with the & just like this: &Yes gives Yes.
- BtnYesText (REG_SZ):
Valid values: any text no longer than 15 characters (it should fit the button width).
Sets text of the "Yes" button in the the agreement dialog.
Note: you may use the & to create keyboard shortcuts to the buttons/checkbox.
Prepend the intended letter with the & just like this: &Yes gives Yes.
- CheckBoxText (REG_SZ):
Valid values: any text no longer than 150 characters (it should fit the checkbox width).
Sets text of the checkbox in the the agreement dialog.
Note: you may use the & to create keyboard shortcuts to the buttons/checkbox.
Prepend the intended letter with the & just like this: &Yes gives Yes.
- DisableLockWorkstation (REG_DWORD):
Valid values are 0 (default behavior) and 1 (locking disabled).
See the more complete description.
- DisableChangePassword (REG_DWORD):
Valid values are 0 (default behavior) and 1 (locking disabled).
See the more complete description.
- DisableTaskMgr (REG_DWORD):
Valid values are 0 (default behavior) and 1 (locking disabled) or 2 (task manager replaced).
See the more complete description.
- HTML_file (REG_SZ):
Valid values: any URL (e.g. file://... or http://...) or HTML markup code.
Sets the agreement to show in the agreement dialog.
- ListenPort (REG_DWORD):
Valid values are 0 (disable this feature) to 65535.
This specifies the port on which user information should be returned, or to
deactivate this feature at all.
- MaintenanceMode (REG_DWORD):
Valid values are 0 (deactivated) and 1 (activated).
If enabled, the user will be shown a maintenance notice and denied to logon. Only
admins are allowed to logon then.
- MaintenanceText (REG_SZ):
Valid values: any URL (e.g. file://... or http://...) or HTML markup code.
Sets the agreement to show in the maintenance notice.
- NewsActive (REG_DWORD):
Valid values are 0 (deactivated) and 1 (activated).
If enabled, the user will see a notice with news or urgent information. Whatever
you like, actually.
- NewsText (REG_SZ):
Valid values: any URL (e.g. file://... or http://...) or HTML markup code.
Sets the agreement to show in the news notice.
- ReplacementTaskMgr (REG_SZ):
Valid values: a path to an existing executable file with the replacement for the task manager.
See the more complete description.
- ShowTimer (REG_DWORD):
Valid values are 0 (deactivated) and 1 (activated).
Activates or deactivates the timer being shown before the user is allowed to
proceed. If this is 1 and TimerDuration is 0 the agreement dialog will
not be shown.
- TimerDuration (REG_DWORD):
Valid values range from 0 to 3600. It is the timout period in seconds.
Sets the timeout duration. If this is 0 and ShowTimer is 1 the
agreement dialog will not be shown.
There are three more special values. These values are somewhat volatile. This means,
if you set them they will disappear from the aforementioned location. However, this
does not mean they are gone. It means they have been moved to a safer location:
the so called password-stash of the system. Special rights are required to access
this information, additionally it is being encrypted.
- GuestDomain (REG_SZ):
Valid values: valid domain name for the specified user account. This value is optional
as there may be no domain. Local accounts need not to supply the local computer name.
- GuestName (REG_SZ):
Valid values: valid user account name.
- GuestPassword (REG_SZ):
Valid values: valid password corresponding to the user account. There is one
limitation: the password MUST NOT be empty.
;Default settings for AgreementGINA2
Windows Registry Editor Version 5.00
[HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Winlogon\AgreementGINA]
"AdminSkips"=dword:00000001
"AllowOnlyGuest"=dword:00000000
"BtnNoText"="&No"
"BtnYesText"="&Yes"
"CheckBoxText"=" I hereby &accept the agreement and confirm to be authorized! "
"DisableChangePassword"=dword:00000000
"DisableLockWorkstation"=dword:00000000
"DisableTaskMgr"=dword:00000002
"HTML_file"=""
"ListenPort"=dword:00000000
"MaintenanceMode"=dword:00000001
"MaintenanceText"="Freshly installed GINA"
"NewsActive"=dword:00000001
"NewsText"=""
"ReplacementTaskMgr"="SimpTaskman.exe"
"ShowTimer"=dword:00000001
"TimerDuration"=dword:00000000
Download the registry script with default settings (right-click + "Save as"). Save the file with extension ".reg".


a window onto the Sanskrit pramāṇa-NLP corpus
Vātāyana (meaning “window” in Sanskrit) is a tool for exploring intertextuality relations within a corpus. It was developed as part of a dissertation on Sanskrit philosophy (see here), but the algorithm is language-independent and should be able to accomodate any tokenized natural language corpus on which topic modeling can be performed.
The current Pramāṇa NLP corpus featured here consists of approximately 28,000 paragraph-sized passages or "documents" in about 50 texts, totaling 2+ million words.
Vātāyana illuminates intertextual connections between these corpus documents by performing three kinds of pairwise comparisons. Comparison by modeled LDA topics is fast and captures abstract semantics, whereas TF-IDF and Smith-Waterman emphasize word-level correspondences at relatively greater computational cost. The staggering of these methods as part of a composite similarity search algorithm produces results that are fast, multifaceted, and accurate. A performance assessment of the system in the above-mentioned dissertation (see §7) found that Vātāyana correctly identifies 80% or more of the parallel passages a careful Sanskrit scholar can find. It thereby provides an excellent starting point for intertextual reading and research.
I'd love to hear from you. Message me on GitHub or email me (Gmail) at tyler.g.neill.
code and documentation on GitHub


---
layout: default
title: The Online Bible
---
GOOD NEWS!! Larry Pierce fixed the bug in the Online Bible that prevented it from running on the HP 100LX and 200LX!
Download the Online Bible for DOS v6.22 (this is a self-extracting archive)
If you're interested in the Online Bible for Windows, visit this site.


Accounting
Endorsed by Yiannis Pettemerides BA,MA,FCA and 3 others who are highly skilled at this
Management
Wisam Ibrahimi and 38 connections have given endorsements for this skill
Account Reconciliation
Wisam Ibrahimi and 36 connections have given endorsements for this skill


7.2 : XXXXXXXX
So the operating system has a few different roles and purposes. This section covers those different roles and what they mean.
Resource Manager
If you actually read my little "History" section in the OSverview, you'll recall I mentioned a desginated Almighty Computer Person who was in charge of designating time for programs to run on the computer. For the most part, this is very similar to the function of a resource manager. Operating systems work as resource managers in managing the physical resources and the memory that each program uses. This makes sure everything stays where it needs to stay and protects the system from attacks. What does this mean in a more practical sense? Well, let's say we have program A and program B. Resource managers means that these programs are going to operate in separate chunks of memory. Let's say program A is an evil program. This program A is going to edit the memory that program B is running on. Program B will either crash now, or it will produce incorrect results. Resource managers prevent this from happening.
Service Provider
Operating systems also function as a service provider. Since operating systems act as a bridge between hardware and the software that runs on it, you could consider it as a piece of software that provides the services of the hardware to the software and applcations we run on top of it. This provides a common interface for applications to run on top of.
Virtual Machine
Above, we mention that the operating system acts as a service provider, and one of the services it provides is a common interface for the applications to run on top of. Looking at the operating system from the perspective of an application, it draws no distinction between the operating system and the hardware, since it has to use the OS to use the hardware. This allows for flexibility in hardware design.


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Kubota MX5000 Parts - Messick Farm Equipment. KUBOTA MX5000 TRACTOR SERVICE REPAIR MANUAL PDF DOWNLOAD. Kubota Tractors Information - SSB Tractor Forum. Kubota MX5000 Tractor Service Repair Manual meets all your information needs to repair or make some adjustments to your Kubota MX5000 Tractor Service Repair Manual. This manual is intended as a handy, easy to read reference book for the mechanics and DIY persons.
Kubota: MX5000 (DT) (F) Service Manual, Part # 97897-12920 Buy Online. Kubota MX5000 Factory Workshop Service Repair Manual. View and Download Kubota M108S operator's manual online. M108S Tractor pdf manual download. Also for: M95s, M105s. Kubota: MX5000 (DT) (F) Service Manual, Part # 97897-12920. Kubota MX5000 Factory Service Repair Manual Kubota MX5000. Here you can find the most complete service and repair manual for KUBOTA MX5000 TRACTOR.The KUBOTA MX5000 TRACTOR service manual contains hundreds of pages in pdf format to help you to solve your problem imediatly. This is the most complete manual that covers the folowing manuals:.
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Hello there! My name is Andrés Felipe López and I am a Systems and Computing Engineer from La Universidad de los Andes in Colombia. I’m interested in data analysis, software development and cybersecurity.
Regarding my personal interests, I like sports and animals, specially cats. I am really devoted to my family and friends because they have helped me a lot. Finally, I love to learn things by myself and I hope I can keep learning a lot of interesting stuff.
Web application to manage and improve the process of collecting medical excuses. You can check the protoype here.
Software architecture project and IoT application that ensures the security of residential units.
Application based in a transactional system used to organize theater festivals in different places.
I went to LTC in England as an exchange student to practice my english and learn about another cultures.
I graduated from San Bartolomé la Merced school. I studied my whole life in this school.
Later in the same year, I started studying systems and computing engineering at Universidad de los Andes
This semester I am working as a teaching assistant in the Business Inteligence class, solving the student's doubts and grading their submissions.


My EDA blog
Hi! I am Moloy. I am training to become a web-developer and welcome to my blog.
reflection
time and habits
tech blog 1
tech blog 2
emotional intelligence


Our Story
In 2013 Edward Snowden leaked information concerning privacy in the world around us,
this uncovered many mysteries. 3 years later in 2016 the British government pushed their
first draft of the Investigatory powers act 2016, this has now become the worlds most
prolific surveillance legislation in democratic history.
The British government tried to sneak this into law with out people knowing. While this
was happening there were websites stating that they was petitioning against it, however
upon signup they sold your data, and the 3 million plus votes were silenced and
disregarded.
Imagine if the 3 million plus people were pointed in the right direction and their
voice was heard. It could have had a totally different outcome.
petition.parliament.uk/archived/petitions/173199
We had enough of the misinformation, misconduct and misdirection. We want to try
and solve theses issues. But we need your help.


Source code for graph_diff.nirvana_object_model.worflow_generator.chain_workflow_generator
import random
import numpy
from graph_diff.nirvana_object_model.workflow import Workflow
from .standard_workflow_generator import StandardWorkflowGenerator
[docs]class ChainWorkflowGenerator(StandardWorkflowGenerator):
"""Generator for chained workflows"""
def __init__(self):
super().__init__()
self.chain_number = None
[docs] def generate_workflow(self) -> Workflow:
"""
Generates workflow by set a given set of blocks.
If types not given they may be generated.
chain_number is a number of the chains, distribution is geometric
with settable expectation.
Then chain_number chains are created consisting of given types
and connected by execution.
After that chain_number random connections are generated.
:return: generated workflow
"""
if self.types_of_block is None:
raise Exception("Blocks not set yet! Set them explicitly or generate them by generate_blocks method.")
workflow = Workflow()
chain_number = numpy.random.geometric(p=1 / self.chain_number) + 1
for _ in range(0, chain_number):
prev_block = self.types_of_block[0]
prev_number = workflow.add_block(prev_block)
for new_block in self.types_of_block[1:]:
new_number = workflow.add_block(new_block)
workflow.add_connection_by_execution(prev_block, prev_number, new_block, new_number)
prev_block = new_block
prev_number = new_number
for _ in range(0, chain_number):
from_block_num = random.randint(0, len(self.types_of_block) - 1)
from_num = random.randint(0, chain_number - 1)
to_block_num = random.randint(0, len(self.types_of_block) - 1)
to_num = random.randint(0, chain_number - 1)
if (from_block_num > to_block_num):
from_block_num, to_block_num = to_block_num, from_block_num
from_num, to_num = to_num, from_num
from_block = self.types_of_block[from_block_num]
to_block = self.types_of_block[to_block_num]
workflow.add_connection_by_execution(from_block, from_num, to_block, to_num)
return workflow
[docs] def generate_blocks(self,
min_block_num=8,
max_block_num=12,
chain_number=20,
min_input_output_number=0,
max_input_output_number=3,
min_key_value_number=0,
max_key_value_number=10):
"""
Generate blocks with given parameters.
:param min_block_num:
:param max_block_num:
:param chain_number:
:param min_input_output_number:
:param max_input_output_number:
:param min_key_value_number:
:param max_key_value_number:
:return:
"""
super().generate_blocks(min_block_num,
max_block_num,
min_input_output_number,
max_input_output_number,
min_key_value_number,
max_key_value_number)
self.chain_number = chain_number
return self


Here a list of the major features offered by Wizdm. We'll be glad to hear from you for any suggestion or enquiry.


|
mbed TLS v2.16.11
|
This structure is used for storing ciphersuite information. More...
#include <ssl_ciphersuites.h>
Data Fields | |
| int | id |
| const char * | name |
| mbedtls_cipher_type_t | cipher |
| mbedtls_md_type_t | mac |
| mbedtls_key_exchange_type_t | key_exchange |
| int | min_major_ver |
| int | min_minor_ver |
| int | max_major_ver |
| int | max_minor_ver |
| unsigned char | flags |
This structure is used for storing ciphersuite information.
Definition at line 415 of file ssl_ciphersuites.h.
| mbedtls_cipher_type_t mbedtls_ssl_ciphersuite_t::cipher |
Definition at line 420 of file ssl_ciphersuites.h.
| unsigned char mbedtls_ssl_ciphersuite_t::flags |
Definition at line 429 of file ssl_ciphersuites.h.
| int mbedtls_ssl_ciphersuite_t::id |
Definition at line 417 of file ssl_ciphersuites.h.
| mbedtls_key_exchange_type_t mbedtls_ssl_ciphersuite_t::key_exchange |
Definition at line 422 of file ssl_ciphersuites.h.
Referenced by mbedtls_ssl_ciphersuite_cert_req_allowed(), mbedtls_ssl_ciphersuite_has_pfs(), mbedtls_ssl_ciphersuite_no_pfs(), mbedtls_ssl_ciphersuite_uses_dhe(), mbedtls_ssl_ciphersuite_uses_ecdh(), mbedtls_ssl_ciphersuite_uses_ecdhe(), and mbedtls_ssl_ciphersuite_uses_server_signature().
| mbedtls_md_type_t mbedtls_ssl_ciphersuite_t::mac |
Definition at line 421 of file ssl_ciphersuites.h.
| int mbedtls_ssl_ciphersuite_t::max_major_ver |
Definition at line 426 of file ssl_ciphersuites.h.
| int mbedtls_ssl_ciphersuite_t::max_minor_ver |
Definition at line 427 of file ssl_ciphersuites.h.
| int mbedtls_ssl_ciphersuite_t::min_major_ver |
Definition at line 424 of file ssl_ciphersuites.h.
| int mbedtls_ssl_ciphersuite_t::min_minor_ver |
Definition at line 425 of file ssl_ciphersuites.h.
| const char* mbedtls_ssl_ciphersuite_t::name |
Definition at line 418 of file ssl_ciphersuites.h.


layout: true class: center, middle --- # Building Your Own Federated Search https://trott.github.io/building-your-own-federated-search ??? Let's talk about building your own federated search. --- # What ??? Before we build it, I guess we ought to know what it is. ---
??? For starters, it's not metasearch, which I guess means I better take ten seconds to distinguish between federated search and metasearch. --- # Metasearch: one index, multiple resources ??? Metasearch operates on a one consolidated index harvested from multiple sources; Summon and similar products are metasearch tools. --- # Federated search: one index per resource ??? Federated search is more like running the same search on ten different search engines all at once and getting ten different result sets. --- # There are pros… ??? Reasons you might want to do this instead of metasearch include… --- #
$
??? …higher cost for implementing metasearch… --- # Extensibility ??? …and flexibility to include pretty much anything you can search rather than only things for which you have access to complete metadata. --- # There are cons… ??? There are disadvantages to be aware of. --- # Multiple result sets ??? Getting ten different result sets can be overwhelming compared to a single, sorted result set. --- # But really, why? ??? Let's say you have dozens of online resources and each of these online resources has its own search tool. --- # Here are the 387 URLs to try… ??? But users shouldn't be asked to search in dozens of different interfaces to find what they're looking for. --- # Have we mentioned
$
? ??? You're cash-constrained… --- # I am a special snowflake. ??? …or you have a specialized collection set that needs searching that is not handled adequately by existing discovery products… --- # Hi, I'm Cyndi Lauper, and I create amazing user experiences. ??? …or just want to have some fun creating something. --- # Let's federate some search already! ??? Your focus is on federated search because it's frankly simpler and cheaper than metasearch. --- # 3 Is A Magic Number Yes it is. It's a magic number.
Somewhere in the ancient mystic trinity, you get 3. That's a magic number.
The past and the present and the future…
…faith and hope and charity…
…the heart and the brain and the body…
…give you 3.
That's a magic number.
??? There are (at least) three ways to pull data out of other resources in real time, and here they are in descending order of desirability. --- # #1 ## Cool, they have an API for that!
This almost never happens.
??? Number 1: The content provider might publish an API, which is something that almost never happens. --- # Faux APIs will break your heart. ??? Often what you and I consider an API is not what the content providers consider an API. --- # You keep using that word. I do not think it means what you think it means. ??? If you give me a script tag that injects a widget into my page, and then you call it an API, that is not an API. --- # #2 ## Screen-scrape the #*%! out of it. This is by far the most common scenario. ??? Then there's straightforward grab-the-HTML and scrape the information out of it. --- #
WARNING
??? As we all know, this brittle because the HTML can change and break your scraper. --- #
UPSIDES
??? But it has two big upsides. --- # Better than the alternative… …which is nothing. ??? Number 1: It usually works well enough. --- # You can actually do it. ??? And number 2: It is usually easy and fast to implement. --- # Web New-dot-Oh No JavaScript = No Content ??? Lastly, there's what you have to do when confronted with a site powered by front-end technologies where none of the content shows up unless you execute a bunch of JavaScript. --- # Headless browsers to the rescue ??? For this, make friends with headless browsers like PhantomJS to scrape these sites. --- #
CAUTION
??? This should be your last resort, not your first choice. --- # Fast! But not that fast. ??? Headless browsers are fast compared to Safari and Internet Explorer, but they're slow compared to curl or API calls. --- # I have no opinion… …except when I do. ??? I like to think I'm technology-agnostic and it's probably fine if you've concluded the way to do this is to code up a bunch of enterprise Java, compile it to a WAR file, and deploy that to your Tomcat server. --- # JavaScript FTW ??? But it's impossible to deny that **"JavaScript has a more robust and widely-understood set of conventions and tools for processing blobs of HTML than any other programming language."** --- # JS & HTML BFF ??? It has built-in DOM-handling, a million battle-tested libraries with simple and powerful jQuery-like selectors, and its sole reason for existing is the web and HTML. --- # Node.js FTW io.js too! ??? So we decided that it probably made sense to build our federated search server using Node.js. --- # Browserify FTW ??? Or maybe even take it a step further and just put all the federated search code entirely in the browser with no intermediary server whatsoever. --- # Amalgamatic ## https://github.com/ucsf-ckm/amalgamatic ??? First, we wrote a pluggable, extensible federated search tool called Amalgamatic. --- ### `npm install --save amalgamatic` ??? You install it with `npm`. --- ### `npm install --save amalgamatic-pubmed` ??? By itself, it doesn't do much, so you need to install plugins too, which we'll get to in a minute. --- ````javascript // Load Amalgamatic var amalgamatic = require('amalgamatic'); // Load some plugins to search PubMed and SFX. var pubmed = require('amalgamatic-pubmed'); var sfx = require('amalgamatic-sfx'); // Add the plugins to Amalgamatic. amalgamatic.add('sfx', sfx); amalgamatic.add('pubmed', pubmed); var callback = function (err, results) { if (err) { console.dir(err); } else { results.forEach( function (result) { console.log('\nCollection name: ' + result.name); console.dir(result.data); }); } }; // Do a search! amalgamatic.search({searchTerm: 'medicine'}, callback); ```` ??? Here's sample code for a minimal server. --- # Plugins ??? So, about those plugins… --- ### https://www.npmjs.org/browse/keyword/amalgamatic-plugin ??? The plugins are published via npm and tagged `amalgamatic-plugin` so you can find them at this URL or using `npm search`. --- ### https://github.com/ucsf-ckm/amalgamatic/wiki/How-to-write-an-Amalgamatic-plugin ??? Hopefully, there's a plugin for whatever you want to do, but if not, there's a short simple guide to writing plugins and, of course, you can just look at the source code for a similar plugin on GitHub. --- # Our federated search ## http://search.library.ucsf.edu/ ??? We stuck amalgamatic on an API server we run and created this interface to it. --- # Browserified Demo ### http://trott.github.io/demo-amalgamatic-browserify/ ??? But you don't need a server to handle the search federation, so here's a federated search example that runs via Browserify entirely within the browser. --- ````javascript var sfx = require('amalgamatic-sfx'); sfx.setOptions({ url: 'http://cors-anywhere.herokuapp.com/ucelinks.cdlib.org:8888/sfx_ucsf/az' }); ```` ??? For those of you who might be wondering about same-origin policy issues, the short answer is we used CORS where we could and a CORS proxy where we could not use CORS directly. --- ````javascript var options = { searchTerm: searchTerm, // We snarfed this from the form earlier pluginCallback: function (err, result) { var elem = document.getElementById(result.name); if (err) { elem.textContent = err.message; } else { if (result.data.length) { // Code that inserts results into the DOM } else { elem.innerHTML = 'No results. :-('; } } } }; amalgamatic.search(options); ```` ??? And here's the code that does the search. --- ````javascript amalgamatic.search(options); ```` ??? This time, in the search call, we're not using the callback that is invoked when all the plugins have finished returning data. --- ```javascript var options = { searchTerm: searchTerm, // We snarfed this from the form earlier pluginCallback: function (err, result) { var elem = document.getElementById(result.name); if (err) { elem.textContent = err.message; } else { if (result.data.length) { // Code that inserts results into the DOM } else { elem.innerHTML = 'No results. :-('; } } } }; ```` ??? Instead, in the options object, we're specifying a plugin callback that gets called each time a plugin returns data. ---
??? Using the plugin callback allows us to show results as they arrive rather than making the user wait for the slowest plugin to return before showing anything. --- `# browserify -o bundle.js main.js` ??? Next, we take that JavaScript, which is in `main.js`, and we bundle it up with Browserify into `bundle.js`. --- ````html ```` ??? Finally, we include the bundle in our HTML file. --- # But wait! There's more! ??? Getting creative, we can add search—again, even without any server-side components—for small resources that don't even have a search interface or API. ---
??? Let's take the CENIC conference website, which has a nice search box in the header that, when you enter some search terms and submit the form, does absolutely nothing whatsoever. ---
??? And the program page is hard to use because all the information you care about—like almost everything aside from the talk title—is buried behind the Abstract links. --- ### https://github.com/ucsf-ckm/amalgamatic-cenic2015 ??? So I wrote an Amalgamatic plugin for the CENIC 2015 program. --- ### https://trott.github.io/cenic2015 ??? And a quick interface to handle the JSON data generated by the plugin. --- # No WiFi? No problem! ??? It's mobile-friendly and works offline too. --- # Thanks!! ### https://trott.github.io/building-your-own-federated-search Rich Trott @trott UC San Francisco


Test driven development is a very important part of learning to become a solid developer in the industry. For me, this has been a crucial step in my understanding of what is being asked of me. I have had trouble with the first steps in my process so much of the time. It has been beneficial for me to see some test code that is asking exactly the right question. I think that that is the avenue in which I might find my best practice. I have really enjoyed being able to come together with people that I don't know and work to find solutions to problems.
It almost seems like an easy task to find the problems with code when there are checks in place, but I know that it will get more difficult. It can be an art to know what the problems will be with what is being asked of you, and to be able to find the right solution may sometimes take some time. I'm not the best at writing driver code, but working with it is what has been most comfortable for me in this whole process. I have been able to learn so much from fixing broken code.
I had an opportunity to write the user stories for our group challenge. I was returned code that reflected the stories that I produced. Perhaps this was a simple challenge, but it was encouraging to me to feel like I could actually build on the confidence that I had an understanding of what the process was. I like the group atmosphere of taking an idea and producing working code from examples that are given at the start.


Time until next test
The Testing Grounds
Welcome to the Testing Grounds, where role ideas are tested in simulated gameplay. If you have not done so yet, please sign up on the Potential Participants thread as well as the thread for the current game.
If you have any questions about the Testing Grounds, please see the FAQ or message Kiyosen. If you have found a bug with the Testing Grounds server post it here or message KittenLicks.


Disney's Beauty and The Beast: The Enchanted Christmas (1997) A film review by Eric Pickup Copyright 1997 by Movies At Home
3 stars out 4
Robby Benson, Tim Curry, Angela Lansbury, Paige O'Hara, Jerry Orbach, Bernadette Peters
In a new addition to the Academy Award winning film Beauty and The Beast, Enchanted Christmas tells the tale of how Belle and the Enchanted Objects brought Christmas back to the castle despite Beast's wishes to the contrary. Beast, who long ago lost everything on Christmas day hates it and those who wish to celebrate it. Feeding this loathing is Forte, a evil pipe organ who has decided that he likes life better as an Enchanted Object than as a man and doesn't want things to change. Now the friends, including the reluctant Angelique - a beautiful tree ornament who was once the castle decorator must organize to bring Christmas about in secret.
Beautifully animated and featuring great musical numbers including five original songs in addition to a collection of Christmas classics, Enchanted Christmas is sure to be a favorite for the kiddies. For the parents it will also be fun to watch on Christmas Day, although it lacks some of the charm of the original. The computer generation of Forte actually adds to his sinister and evil charm when compared to the rest of the characters who are drawn with traditional techniques. He is devilish in the way he is realised. The rest of characters who are drawn from the original movie are beautifully animated and brought to life. Generally speaking, this won't be considered an all time classic like the first installment, but it will add to the list of movies that the kids just need to watch on Christmas day.
-- Eric Pickup Movies At Home your guide to home video http://ecreations.com
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Related links: index of all rec.arts.movies.reviews reviews


I have learnt that I come from a very fixed mindset, and that if I wish to overcome this I will need to actively work towards changing it.
I have learnt that (possibly as a product of my fixed mindset) that I get frustrated easily at things I don’t understand or do not believe that I can easily understand.
I have learnt that when someone else is speaking I am often busy thinking about what I am going to say next in response to them rather than actively listening to what they are saying, this is also something that I need to be aware of, recognise, and actively work towards changing if I want to see any improvement in this area.
Values help us understand our (or someone else's) perspective, which motivates and drives them towards their goals or what causes them to do something in a certain way.
Empathy is vital for all aspects of learning and programming that involve another human.
Empathy allows us to attempt to see a situation from someone else's perspective, allowing us insight into how things may or may not affect them, which will lead to unity and teamwork that is unlikely to be achieved without empathy.
Self awareness allows us to have a better understanding of ourselves, our needs and our values.
Only once we have identified our values, are aware of our true self and have accessed some of the thoughts, feelings and emotions of others through empathy are we able to actively work towards changing ourselves and our work environment to better suit us and our co-workers.
That we are learning skills that are widely applicable in most if not all industries. I am amazed that there is not more emphasis on these types of learning topics across other industries, such as hospitality. Even as far back as high school, why are some of these things not being taught to people? I feel like students AND teachers could both benefit from learning about Fixed and Growth Mindsets, and I think if we put more emphasis on these types of core values everyone's learning process would be more efficient and enjoyable.
Self analysis, I seemed to struggle to step back and review myself and my core values. I have also had difficulty with transitioning from my Fixed Mindset to one of Growth, but I understand and acknowledge that this won’t be an instantaneous process and will likely be something that I will have to work on over an extended period of time.
Because these are skills which can be applied to any workplace situation and are often not discussed or taught when starting a new job. A person with a strong understanding of the core learning taught in this course will be more likely to get along with their team, communicate effectively and thrive in a new working environment than someone who might have more technical prowess but their social dynamic and interactions with team members leads to them being an inefficient employee.
A small part of me does feel like some of the core learning was time that would have been better spent practicing programming, but I am aware that I have no experience or knowledge of what skills will actually be most useful to me in a programming workplace environment, so I think that opinion is mainly due to the tangible results that learning coding and coding exercises produce. While I cannot necessarily see evidence of my progress with core learning I know that the groundwork that has been laid for me over this course will continue to develop over the rest of my career.
At this point in time I am undecided on a particular career pathway. My long term goal is to find work in the tech industry that I find stimulating and enjoyable. Due to the wide array of topics that EDA covers I am not sure what specific aspect of the industry I want to work in yet.
I think my biggest strength will be my ability to work well in a team environment and communicate effectively with others. I think my biggest limitation may be my Fixed Mindset, and the frustration I sometimes experience when learning new and unfamiliar concepts.
I am concerned that I may begin to run out of motivation and focus towards the end of Bootcamp, or that the stress of the workload and keeping up with the speed and frequency of assessments may begin to affect me negatively.
As mentioned before I think my Fixed Mindset is something I would definitely like to develop towards a Growth Mindset while I am at EDA. I would also like to work on my self awareness and reflections skills as they are something that I have found challenging throughout the Foundations part of this course.
I expect myself to keep with the learning plan from my earlier blog, and to follow the same rough plan each time I encounter a learning block. I will attempt to solve the problem myself through various methods of problem solving but I will also not hesitate to ask for assistance/advice from peers and the teaching team to ensure that I do not fall behind whilst lamenting over a single holdup. At the same time I will keep assessing my level of skill and progression through the course and discuss with the teaching team if I feel that I am falling behind or struggling at any point in the course.


I am developer who does the architecture for the application, and propose solutions for different business issues and can be called a cloud enthusiast.
These all are just the few technologies that i am currently working on
mail me at<EMAIL_ADDRESS>contact now


--- layout: post status: publish published: true title: Database Migrations for .NET author: display_name: Geoff Lane login: admin email<EMAIL_ADDRESS>url: http://www.zorched.net author_login: admin author_email<EMAIL_ADDRESS>author_url: http://www.zorched.net date: '2008-04-20 15:31:58 -0400' date_gmt: '2008-04-20 21:31:58 -0400' categories: - Code - ".NET" - Automation tags: - database - Automation - csharp ---
One of the more difficult things to manage in software projects is often changing a database schema over time. On the projects that I work on, we don't usually have DBAs who manage the schema so it is left up to the developers to figure out. The other thing you have to manage is applying changes to the database in such a way that you don't disrupt the work of other developers on your team. We need the change to go in at the same time as the code so that Continuous Integration can work.
001_AddAddressTable.cs: {% highlight csharp %} using Migrator.Framework; using System.Data; [Migration(1)] public class AddAddressTable : Migration { override public void Up() { Database.AddTable("Address", new Column("id", DbType.Int32, ColumnProperty.PrimaryKey), new Column("street", DbType.String, 50), new Column("city", DbType.String, 50), new Column("state", DbType.StringFixedLength, 2), new Column("postal_code", DbType.String, 10) } override public void Down() { Database.RemoveTable("Address"); } } {% endhighlight %}
02_AddAddressColumns.cs: {% highlight csharp %} using Migrator.Framework; using System.Data; [Migration(2)] public class AddAddressColumns : Migration { public override void Up() { Database.AddColumn("Address", new Column("street2", DbType.String, 50)); Database.AddColumn("Address", new Column("street3", DbType.String, 50)); } public override void Down() { Database.RemoveColumn("Address", "street2"); Database.RemoveColumn("Address", "street3"); } } {% endhighlight %}
003_AddPersonTable.cs: {% highlight csharp %} using Migrator.Framework; using System.Data; [Migration(3)] public class AddPersonTable : Migration { public override void Up() { Database.AddTable("Person", new Column("id", DbType.Int32, ColumnProperty.PrimaryKey), new Column("first_name", DbType.String, 50), new Column("last_name", DbType.String, 50), new Column("address_id", DbType.Int32, ColumnProperty.Unsigned) ); Database.AddForeignKey("FK_PERSON_ADDRESS", "Person", "address_id", "Address", "id"); } public override void Down() { Database.RemoveTable("Person"); } } {% endhighlight %}
MigratorDotNet supports MSBuild and NAnt.
MSBuild:
{% highlight xml %}
NAnt:
{% highlight xml %}
MigratorDotNet is a continuation of code started by Marc-AndrÃ© Cournoyer and Nick Hemsley.


The Fidelix Linux Distribution
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SERVICE(8)
Linux System Administrator's Manual
SERVICE(8)
NAME
service - Utility for managing system services in /etc/init.d
SYNOPSIS
service <SERVICE-NAME> <COMMAND>
DESCRIPTION
Perform the specified command on a service in /etc/init.d. If service-name is all, then the specified command will be run for all services in /etc/init.d.
COMMANDS
start
Start the service
stop
Stop the service
restart
Restart the service
reload
Reload the service data (not supported by all services)
status
Show the status of a service along with other status related data
shortstatus
Show the short status of a service (only whether it is running or not; omit any additional data)
terse
Show the terse (one line) status of a service along with other status data
enable
Enable the service to start on boot
disable
Disable the serive from starting on boot
default
Set the service to its default enabled/disabled status
AUTHOR
Service was written by Scott Court (z5t1@z5t1.com).
HISTORY
Service first appeared in Fidelix 0.1
2020-04-25
Fidelix


My name is oqla alrefai I have 26 years old I live in Jordan
I'm biomedical engineer I graduated from yarmouk university last year
Work and education experince
- trainee at King Abdullah University Hospital
- graduated from yarmouk university
- data Science using Python
- Image processing usin matlab
- Arduino
- CNN using python


Pagination and Streams
In this article we will see how to use different streams(like akka-stream) for pagination and when it can be useful. The main idea of pagination is partition of a big sequence of objects into several parts(or pages) in order to make possible its processing page by page. For example, you have a 1.000.000 users in the database and you need to send an email to all of them. You could try to load all user records in a big list and process it at once but it would not be memory-efficient approach. Instead you can partition the list of users into pages by 100 users per page, load one page, send emails to users in this page, load next page and so on. This will be a much more efficient way to deal with big collections of records.
So lets try to implement this approach but for a more complex case.
Lets say that we have the big collection of users and each user has the big collection of products and we need to send emails to each user about each his product. In this case we can not load all users and/or all user’s products in memory at once. So we have to use pagination for users and for user’s products.
Possible solutions
To solve that issue I tried to use:
- Recursion
- Akka-stream
- Twitter AsyncStream
All examples can be found here
Using recursion
The main idea is to use the recursive helper method forEachPage(...)
which executes page functions forUserPage(...)
and forWarePage(...)
until they return false.
It is a simple approach but it requires plenty of code.
import io.koff.pagination.domain.User
import io.koff.pagination.repo.Repository
import scala.concurrent.duration._
import scala.concurrent.{Await, ExecutionContext, Future}
import scala.language.postfixOps
/**
* Example of recursive approach
*/
object RecursiveMain {
import scala.concurrent.ExecutionContext.Implicits.global
private val WaitTime = 10 seconds
val repo = new Repository
val emailService = new EmailService
def main(args: Array[String]) {
val result = forEachPage()(forUserPage)
Await.result(result, WaitTime)
}
/**
* Execute this function for each page of user wares
*/
private def forWarePage(user: User, page: PageRequest): Future[Boolean] = {
for {
//get page of user wares
wares <- repo.getPageOfWares(user, page)
//send email
futSeq = wares.map { ware => emailService.sendEmail(user, ware) }
_ <- Future.sequence(futSeq)
} yield {
wares.nonEmpty
}
}
/**
* Execute this function for each page of users
*/
private def forUserPage(page: PageRequest): Future[Boolean] = {
for{
//get a page of users
users <- repo.getPageOfUsers(page)
//traverse though user wares for each user
futSeq = users.map(user => forEachPage()(forWarePage(user, _)))
_ <- Future.sequence(futSeq)
} yield {
users.nonEmpty
}
}
/**
* Recursive function for traverse through a collection page by page using `func`
* @param currPage current page
* @param func function which is called on each step of recursion
* @param ctx execution context
* @return result future
*/
private def forEachPage(currPage: PageRequest = PageRequest.FirstPage)
(func: PageRequest => Future[Boolean])
(implicit ctx: ExecutionContext): Future[_] = {
func(currPage).flatMap {
case true =>
forEachPage(currPage.next)(func)
case false =>
Future.successful(())
}
}
}
Using akka-streams
It is easy to implement the same logic using the method Source.unfoldAsync(...)
from akka-stream. But it is necessary to have ActorSystem in order to use akka streams.
import akka.actor.ActorSystem
import akka.stream.ActorMaterializer
import akka.stream.scaladsl.Source
import io.koff.pagination.repo.Repository
import scala.concurrent.duration._
import scala.concurrent.{Await, Future}
import scala.language.postfixOps
/**
* Pagination using akka-streams
*/
object ReactiveMain {
import scala.concurrent.ExecutionContext.Implicits.global
private val WaitTime = 10 seconds
private val repo = new Repository
private val emailService = new EmailService
implicit val system = ActorSystem("reactive-pagination")
implicit val materializer = ActorMaterializer()
def main(args: Array[String]): Unit = {
//Define the computation stream
val source =
//get users page by page
asyncPageToSource(repo.getPageOfUsers)
.flatMapConcat {
//for each user get wares page by page
user => asyncPageToSource(repo.getPageOfWares(user, _)).map((user, _))
}.takeWhile{
//it is possible to check errors here to stop processing after the first error
case (user, _) => user.name != "user#5"
}.mapAsync(1){
//send email for each (user, ware) pair
(emailService.sendEmail _).tupled
}
//Execute computations
//Because all computations are executed inside the stream
//We don't need to do anything here
val result = source.runForeach(value => value)
//Wait the result
Await.result(result, WaitTime)
//Shutdown the actor system
system.terminate()
}
/**
* Converts page function to Source of pages
* @param pageFunc function which receives PageRequest as a parameter and returns an async result
* @return [[Source]] of pages
*/
private def asyncPageToPageSource[T](pageFunc: PageRequest => Future[Seq[T]]): Source[Seq[T], Unit] = {
Source.unfoldAsync(PageRequest.FirstPage){ page =>
val pageData = pageFunc(page)
pageData.map(data => if (data.isEmpty){ None } else { Some(page.next, data) })
}
}
/**
* Converts page function to Source of elements of T
* @param pageFunc function which receives PageRequest as a parameter and returns an async result
* @return [[Source]] of pages
*/
private def asyncPageToSource[T](pageFunc: PageRequest => Future[Seq[T]]): Source[T, Unit] = {
asyncPageToPageSource(pageFunc).mapConcat{ seq => seq.toList }
}
}
Using twitter AsyncStream
It is possible to implement pagination using twitter AsyncStream in almost the same manner as it is made using akka-stream but with one note. AsyncStream does not have unfoldAsync(...)
so we need to implement it: unfold2(...)
.
import com.twitter.concurrent.exp.AsyncStream
import com.twitter.util.{Await, Future}
import io.koff.pagination.repo.Repository
import io.koff.pagination.utils.TwitterScalaFuture._
/**
* Example for twitter AsyncStream
*/
object TwitterMain {
import scala.concurrent.ExecutionContext.Implicits.global
private val repo = new Repository
private val emailService = new EmailService
def main(args: Array[String]) {
//Define the computation stream
val stream =
//get users page by page
//also convert scala future to twitter using '.toTwitter'
//see implicit class TwitterScalaFuture.ScalaToTwitter for details
asyncPageToStream(repo.getPageOfUsers(_).toTwitter)
.flatMap{
//for each user get wares page by page
user => asyncPageToStream(repo.getPageOfWares(user, _).toTwitter).map((user, _))
}.takeWhile {
//it is possible to check errors here to stop processing after the first error
case (user, _) => user.name != "user#5"
}.mapF {
//send email for each (user, ware) pair
case (user, ware) => emailService.sendEmail(user, ware).toTwitter
}
//Execute computations
//Because all computations are executed inside the stream
//We don't need to do anything here
val res = stream.foreach { value => value }
//Wait the result
Await.ready(res)
}
/**
* Almost the same as akka-stream Source.unfoldAsync(...)
* This function unfolds a value to a sequence of elements
*/
def unfold2[T, K](value: T)(func: (T) => Future[Option[(T, K)]]): AsyncStream[K] = {
val result = func(value)
val stream = AsyncStream.fromFuture(result)
stream.flatMap{
case Some((t,k)) => stream ++ unfold(t)(func)
case None => AsyncStream.empty
}.map(_.get._2)
}
def unfold[T, K](zero: T)(value: (T) => Future[Option[(T, K)]]): AsyncStream[Option[(T, K)]] = {
val result = value(zero)
val stream = AsyncStream.fromFuture(result)
stream.flatMap {
case Some((t,_)) => stream ++ unfold(t)(value)
case None => AsyncStream.empty
}
}
/**
* Converts page function to Source of pages
* @param pageFunc function which receives PageRequest as a parameter and returns an async result
* @return [[AsyncStream]] of pages
*/
def asyncPageToPageStream[T](pageFunc: PageRequest => Future[Seq[T]]): AsyncStream[Seq[T]] = {
unfold2[PageRequest, Seq[T]](PageRequest.FirstPage){ page =>
val pageData = pageFunc(page)
pageData.map { data => if (data.isEmpty) { None } else { Some(page.next, data) } }
}
}
/**
* Converts page function to Source of elements of T
* @param pageFunc function which receives PageRequest as a parameter and returns an async result
* @return [[AsyncStream]] of pages
*/
def asyncPageToStream[T](pageFunc: PageRequest => Future[Seq[T]]): AsyncStream[T] = {
asyncPageToPageStream(pageFunc).flatMap(AsyncStream.fromSeq)
}
}
Links
- Example project - sources for this article
- Akka Stream - documentation for akka-stream
- Twitter AsyncStream - an article about AsyncStream


// Save this file on SD card as index.htm
Visit my website: www.ferduino.com
Code adapted by Fernando Garcia


class uvm_root extends uvm_component
Implementation of the uvm_root class, as defined in 1800.2-2017 Section F.7
function void set_enable_print_topology ( bit enable )
function void set_enable_print_topology (bit enable)
Sets the variable to enable printing the entire testbench topology just after completion of the end_of_elaboration phase.
@uvm-accellera The details of this API are specific to the Accellera implementation, and are not being considered for contribution to 1800.2
function bit get_enable_print_topology ()
function bit get_enable_print_topology()
Gets the variable to enable printing the entire testbench topology just after completion.
@uvm-accellera The details of this API are specific to the Accellera implementation, and are not being considered for contribution to 1800.2
function void set_enable_print_topology ( bit enable )
function bit get_enable_print_topology ()


abstract
classes which can be converted to interfaces.
Java doesn't support multiple class inheritance while class can implement multiple interfaces,
so it make sense to use interfaces wherever possible instead of classes.
A class may be converted to an interface if it has no superclass (other
than Object), has only public static final
fields, public abstract
methods, and public
inner classes.
Example:
abstract class Example {
public static final int MY_CONST = 42;
public abstract void foo();
}
class Inheritor extends Example {
@Override
public void foo() {
System.out.println(MY_CONST);
}
}
After applying the fix:
interface Example {
int MY_CONST = 42;
void foo();
}
class Inheritor implements Example {
@Override
public void foo() {
System.out.println(MY_CONST);
}
}
Use the checkbox to report classes containing static
methods and non-abstract methods which can be converted to
default
methods, when using a language level of 8 or higher .


Usually mild-mannered Arthur has been bullying Archie for weeks but last night he stepped up his campaign of abuse.
Read more: Emmerdale fans predict Nate Robinson and Charity Dingle will sleep together
Viewers know Archie is struggling after the death of his mum Rachel but Arthur seems determined to make his life a misery.
After hearing Jai and Laurel rowing over his claims that Jimmy was responsible for hurting Archie, Arthur turned nasty.
He shouted vile things at little Archie before grabbing the phone he was playing games on and smashing it to pieces.
"You're so stupid," he said.

With that he grabbed the phone and stamped on it, wrecking it in the process before quickly deciding to blame Archie for his own abuse and warning him not to say anything.
Read more: Emmerdale fans slam Jimmy's child abuse storyline as totally unbelievable
"Tell on me and you'll be sorry," he said as Archie ran to his dad and apologised for breaking the phone, terrified of what Arthur would do to him.
Twisted Arthur then lied: "He got cross because he couldn't play he game properly, I tried to help him but he chucked it down and stamped on it."
It was enough to terrify viewers of the soap about Arthur's villainy.
One said: "Arthur is deeply terrifying. The kid is going to win Best Villain at the Soap Awards surely."
A second tweeted: "Arthur has got the devil in him."
A third said: "Jesus christ, Arthur is a little [expletive]!"
What did you think of Arthur's evil behaviour? Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think!