Xtext: writing a grammar
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Xtext is an open-source framework for developing programming languages and domain-specific languages. It generates parsers and abstract syntax trees from language grammars. It provides an Eclipse-based IDE with features like syntax highlighting, code completion, navigation, and refactoring support. A tutorial document outlines how to create a new Xtext project and write a sample grammar for a "Language of Entities" DSL. The grammar defines entity and field rules with terminals like ID and INT, and supports optional, repetitive, and alternative elements.
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The document discusses best practices for developing domain-specific languages (DSLs). It recommends adopting existing domain expert notations rather than inventing new ones, using domain jargon, and designing only what is necessary. It also stresses the importance of understanding the current development process, establishing close ties with domain experts, and not expecting users to forgive design mistakes.
Design concerns for concrete syntax
The document discusses various considerations for designing concrete syntax for computer programming languages, including writability, readability, learnability, effectiveness, supportability in integrated development environments (IDEs), and allowing for multiple notations. It provides examples of notations in different languages and how they score based on these considerations from the perspective of non-programmers and programmers.
JetBrains MPS: Editor Aspect
This document discusses expressions in a domain specific language including string, integer, boolean, and reference expressions. It describes:
1) Concepts like StringValue, IntegerValue, and BooleanValue that implement the Expression interface and how their values are projected.
2) Additional concepts like PrintStatement, AssignmentStatement, and EntityReference that extend concepts like Statement and implement Expression.
3) How the editor handles autocompletion based on declared fields and provides customization options for value input and projection.
4) How aspects are used to specify the desired projection of boolean values, handle node access for reading/writing data, and set default boolean values.
5) The Intentions Aspect which allows adding
Xtext: type checking and scoping
This document discusses type checking and scoping when working with entities in Xtend. It mentions creating an ExpressionTypeComputer class to check types of expressions and fields, including whether a field is of a basic type or entity type. It also discusses creating classes to handle scoping and visibility of fields within an entity hierarchy to allow references to fields of the current entity and super entities.
Xtext: validation, quickfixes, custom formatting
The document discusses various types of validations and quickfixes that can be implemented for Xtext languages, including standard validators, custom validators, textual modifications, model modifications, and custom formatting. Standard validators check for cycles in the class hierarchy and that field names start with "is" if boolean. Custom validators are implemented by creating validator methods. Quickfixes can perform textual changes to the editor or model changes without changing the text. Custom formatting can be implemented by adding a formatter specification to the MWE2 file.
Xtend Programming Language
Xtend is a statically typed Java-like language that aims to provide a more concise syntax than Java with features like type inference, extension methods, and lambda expressions. Xtend code is translated to Java bytecode and can interoperate with Java code by reusing existing Java libraries. Xtend supports many modern programming concepts like optional semicolons, type inference, and lambda expressions to provide a more concise programming experience compared to Java.
Language Workbenches
Language workbenches are environments that provide tools to help quickly implement programming languages and ensure they have high-quality integrated development environments. They cover all aspects of language infrastructure like parsers and code generators to help create domain-specific languages and the tooling needed to effectively use those languages, supporting both textual and graphical languages through platforms like Xtext, Spoofax, MPS, MetaEdit+, and academic projects like Cedalion and MontiCore.
Internal domain-specific languages
Internal DSLs allow defining domain-specific languages embedded in general-purpose host languages. They use method chaining and nested functions to provide a more concise and expressive syntax compared to traditional object-oriented APIs. However, internal DSLs are limited by the syntax rules of the host language and IDEs may not be aware of their constraints. Different styles like command-query, fluent APIs, and method chaining each have advantages and disadvantages for implementing internal DSLs.
Zoo of domain-specific languages
The document discusses several domain-specific languages (DSLs) across different domains, including HTML, Markdown, CSS, SQL, LaTeX, Graphviz, Logo, LEGO Mindstorms programming, user interaction scripts, graphics DSLs, SVG, XAML, XML, JSON, YAML, build languages, LISP, AutoLISP, COBOL, Prolog, Isabelle/HOL, Actulus Modeling Language, Business Rule Designer, Solidity, Alloy, R, Matlab, Excel, Projectional editing systems, Mathcad, mbeddr embedded C, printing languages, Esoteric languages like LOLCODE, Regular expressions, and MRZ data formats.
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MODELS 2020 Tutorial on MPS - Supplementary Material 8 - TextGen
MODELS 2020 Tutorial on MPS - Supplementary Material 8 - TextGen
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MODELS 2020 Tutorial on MPS - Supplementary Material 1 - Creating concept Entity
MODELS 2020 Tutorial on MPS - Supplementary Material 1 - Creating concept Entity
Towards a mnemonic classification of software languages
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KernelF: a functional core for domain-specific languages in JetBrains MPS
KernelF: a functional core for domain-specific languages in JetBrains MPS
Reflections on teaching JetBrains MPS within a university course
Reflections on teaching JetBrains MPS within a university course
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Visit Us For : https://www.dronainfotech.com/mobile-application-development/
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INTRODUCTION TO AI CLASSICAL THEORY TARGETED EXAMPLES
Image: Include an image that represents the concept of precision, such as a AI helix or a futuristic healthcare
setting.
Objective: Provide a foundational understanding of precision medicine and its departure from traditional
approaches
Role of theory: Discuss how genomics, the study of an organism's complete set of AI ,
plays a crucial role in precision medicine.
Customizing treatment plans: Highlight how genetic information is used to customize
treatment plans based on an individual's genetic makeup.
Examples: Provide real-world examples of successful application of AI such as genetic
therapies or targeted treatments.
Importance of molecular diagnostics: Explain the role of molecular diagnostics in identifying
molecular and genetic markers associated with diseases.
Biomarker testing: Showcase how biomarker testing aids in creating personalized treatment plans.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Content:
• Ethical issues: Examine ethical concerns related to precision medicine, such as privacy, consent, and
potential misuse of genetic information.
• Regulations and guidelines: Present examples of ethical guidelines and regulations in place to safeguard
patient rights.
• Visuals: Include images or icons representing ethical considerations.
Real-world case study: Present a detailed case study showcasing the success of precision
medicine in a specific medical scenario.
Patient's journey: Discuss the patient's journey, treatment plan, and outcomes.
Impact: Emphasize the transformative effect of precision medicine on the individual's
health.
Objective: Ground the presentation in a real-world example, highlighting the practical
application and success of precision medicine.
Data challenges: Address the challenges associated with managing large sets of patient data in precision
medicine.
Technological solutions: Discuss technological innovations and solutions for handling and analyzing vast
datasets.
Visuals: Include graphics representing data management challenges and technological solutions.
Objective: Acknowledge the data-related challenges in precision medicine and highlight innovative solutions.
Data challenges: Address the challenges associated with managing large sets of patient data in precision
medicine.
Technological solutions: Discuss technological innovations and solutions
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Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
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SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
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A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
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【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信bwp0011】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信bwp0011】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
Enhanced Screen Flows UI/UX using SLDS with Tom Kitt
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DECODING JAVA THREAD DUMPS: MASTER THE ART OF ANALYSIS
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Xtext: writing a grammar
- 2. open-source software framework generates parser generates semantic model for abstract syntax tree Eclipse Modeling Framework provides customizable Eclipse-based IDE uses ANTLR syntax highlighting code completion outline view code navigation hovering code folding rename refactoring Xtext Language Workbench support for IntelliJ IDEA http://www.jetbrains.com/idea DSL editor for Web Java servlet https://www.eclipse.org/Xtext/
- 3. Creating new Xtext project *.entities – grammar definition and runtime components that are independent of UI *.entities.ide – UI components that are independent from Eclipse *.entities.tests – JUnit tests independent on UI *.entities.ui.tests – JUnit tests dependent on Eclipse UI *.entities.ui – components related to Eclipse UI
- 5. Writing a grammar may contain fieldsentity field has name * for any number of repetitions, including 0 + for any number of repetitions, but at least 1 collection of entities of the model collection of fields of an entity “Language of Entities” name of a field common terminals (such as ID, INT) should contain at least 1 entitymodel duplicates allowed – to be fixed later
- 6. Writing a grammar can extend another existing entityentity field has type (existing entity) can be array [notion] – to refer to an existing instance of notion quickfixes automatically generated by Xtext space is not allowed between square brackets no space between brackets name – used to check existence (notion)? – optionalflag
- 7. Writing a grammar allow space arrays should have length Common terminals ID INT STRING ML_COMMENT SL_COMMENT WS doesn’t start with a number integer value single/double quotes Java-style multiline Java-style single line whitespace, tab, new line, …
- 8. Writing a grammar field has type for simplicity, forget about arrays “basic type” “entity type” either or string integer Boolean an existing entity use different names for the sake example ...|... – alternatives (...) – grouping
- 9. Writing a grammar may contain statementsentity prints an expressionstatement expression integer constant string constant Boolean constant name of an existing field first – all fields, then all statements Expression: IntConstant | StringConstant | BoolConstant | FieldRef; IntConstant: value=INT; StringConstant: value=STRING; BoolConstant: value=(‘on’|’off’); FieldRef: field=[Field];
- 10. Writing a grammar first – all fields, then all statements assignmentstatement to an existing field