Raster scanning is a process used in television and computer graphics where an image is captured and reconstructed by systematically scanning across it in horizontal lines from top to bottom. Each line, called a scan line, is transmitted as an analog signal or divided into discrete pixels. Pixels are stored in a refresh buffer and then "painted" onto the screen one row at a time, with the beam returning to the left side during horizontal retrace and to the top left for vertical retrace between frames. Raster scanning provides realistic images but at the cost of lower resolution compared to random scanning systems.
Social control And Agencies of social controlSaira Randhawa
Social control refers to the ways in which societies influence individuals to conform to social norms and maintain social order. There are formal and informal mechanisms of social control. Formal mechanisms include laws, the state, education, administration and religion which use coercion. Informal mechanisms are folkways, mores, the family, neighborhood and public opinion which influence individuals through social norms. Social control is necessary for orderly social life and the preservation of social structures and individual identities within society.
NLP stands for Natural Language Processing which is a field of artificial intelligence that helps machines understand, interpret and manipulate human language. The key developments in NLP include machine translation in the 1940s-1960s, the introduction of artificial intelligence concepts in 1960-1980s and the use of machine learning algorithms after 1980. Modern NLP involves applications like speech recognition, machine translation and text summarization. It consists of natural language understanding to analyze language and natural language generation to produce language. While NLP has advantages like providing fast answers, it also has challenges like ambiguity and limited ability to understand context.
This lecture contains Newton Raphson Method working rule, Graphical representation, Example, Pros and cons of this method and a Matlab Code.
Explanation is available here: https://www.youtube.com/watch?v=NmwwcfyvHVg&lc=UgwqFcZZrXScgYBZPcV4AaABAg
This document provides a summary of requirements for a Library Management System. It includes 3 sections:
1. Introduction - Defines the purpose, scope and intended audience of the system which is to manage library processes like book borrowing online.
2. Overall Description - Outlines key product functions for administrators and users, the operating environment, user characteristics and design constraints.
3. External Interfaces - Specifies the user interface requirements including login, search and categories. Hardware and software interfaces are also listed.
The document provides a high-level overview of the essential functions, behaviors and non-functional requirements for the library management software.
Problem solving
Problem formulation
Search Techniques for Artificial Intelligence
Classification of AI searching Strategies
What is Search strategy ?
Defining a Search Problem
State Space Graph versus Search Trees
Graph vs. Tree
Problem Solving by Search
Organization and Management: Function & Theories of Managementreginamunsayac
Frederick W. Taylor is considered as the Father of Scientific Management. One of his contributions to scientific management is identifying clear guidelines for the improvement of worker productivity through developing a science for each element of an individual's work to replace the old rule of thumb method.
TQM stands for Total Quality Management. OB stands for Organizational Behavior.
This document provides an introduction to object-oriented programming (OOP) concepts using C++. It defines key OOP terms like class, object, encapsulation, inheritance, polymorphism and abstraction. It provides examples of different types of inheritance in C++ like single, multiple, hierarchical and hybrid inheritance. It also outlines advantages of OOP like easier troubleshooting, code reusability, increased productivity, reduced data redundancy, and flexible code.
This produced by straight forward compiling algorithms made to run faster or less space or both. This improvement is achieved by program transformations that are traditionally called optimizations.compiler that apply-code improving transformation are called optimizing compilers.
The document discusses different representations of intermediate code in compilers, including high-level and low-level intermediate languages. High-level representations like syntax trees and DAGs depict the structure of the source program, while low-level representations like three-address code are closer to the target machine. Common intermediate code representations discussed are postfix notation, three-address code using quadruples/triples, and syntax trees.
The document discusses symbol tables, which are data structures used by compilers to track semantic information about identifiers, variables, functions, classes, etc. It provides details on:
- How various compiler phases like lexical analysis, syntax analysis, semantic analysis, code generation utilize and update the symbol table.
- Common data structures used to implement symbol tables like linear lists, hash tables and how they work.
- The information typically stored for different symbols like name, type, scope, memory location etc.
- Organization of symbol tables for block-structured vs non-block structured languages, including using multiple nested tables vs a single global table.
The document discusses run-time environments in compiler design. It provides details about storage organization and allocation strategies at run-time. Storage is allocated either statically at compile-time, dynamically from the heap, or from the stack. The stack is used to store procedure activations by pushing activation records when procedures are called and popping them on return. Activation records contain information for each procedure call like local variables, parameters, and return values.
Loop optimization is a technique to improve the performance of programs by optimizing the inner loops which take a large amount of time. Some common loop optimization methods include code motion, induction variable and strength reduction, loop invariant code motion, loop unrolling, and loop fusion. Code motion moves loop-invariant code outside the loop to avoid unnecessary computations. Induction variable and strength reduction techniques optimize computations involving induction variables. Loop invariant code motion avoids repeating computations inside loops. Loop unrolling replicates loop bodies to reduce loop control overhead. Loop fusion combines multiple nested loops to reduce the total number of iterations.
This document summarizes graph coloring using backtracking. It defines graph coloring as minimizing the number of colors used to color a graph. The chromatic number is the fewest colors needed. Graph coloring is NP-complete. The document outlines a backtracking algorithm that tries assigning colors to vertices, checks if the assignment is valid (no adjacent vertices have the same color), and backtracks if not. It provides pseudocode for the algorithm and lists applications like scheduling, Sudoku, and map coloring.
This document discusses various techniques for optimizing computer code, including:
1. Local optimizations that improve performance within basic blocks, such as constant folding, propagation, and elimination of redundant computations.
2. Global optimizations that analyze control flow across basic blocks, such as common subexpression elimination.
3. Loop optimizations that improve performance of loops by removing invariant data and induction variables.
4. Machine-dependent optimizations like peephole optimizations that replace instructions with more efficient alternatives.
The goal of optimizations is to improve speed and efficiency while preserving program meaning and correctness. Optimizations can occur at multiple stages of development and compilation.
The document discusses three address code, which is an intermediate code used by optimizing compilers. Three address code breaks expressions down into separate instructions that use at most three operands. Each instruction performs an assignment or binary operation on the operands. The code is implemented using quadruple, triple, or indirect triple representations. Quadruple representation stores each instruction in four fields for the operator, two operands, and result. Triple avoids temporaries by making two instructions. Indirect triple uses pointers to freely reorder subexpressions.
The document discusses error detection and recovery in compilers. It describes how compilers should detect various types of errors and attempt to recover from them to continue processing the program. It covers lexical, syntactic and semantic errors and different strategies compilers can use for error recovery like insertion, deletion or replacement of tokens. It also discusses properties of good error reporting and handling shift-reduce conflicts.
Syntax analysis is the second phase of compiler design after lexical analysis. The parser checks if the input string follows the rules and structure of the formal grammar. It builds a parse tree to represent the syntactic structure. If the input string can be derived from the parse tree using the grammar, it is syntactically correct. Otherwise, an error is reported. Parsers use various techniques like panic-mode, phrase-level, and global correction to handle syntax errors and attempt to continue parsing. Context-free grammars are commonly used with productions defining the syntax rules. Derivations show the step-by-step application of productions to generate the input string from the start symbol.
Syntax directed translation allows semantic information to be associated with a formal language by attaching attributes to grammar symbols and defining semantic rules. There are several types of attributes including synthesized and inherited. Syntax directed definitions specify attribute values using semantic rules associated with grammar productions. Evaluation of attributes requires determining an order such as a topological sort of a dependency graph. Syntax directed translation schemes embed program fragments called semantic actions within grammar productions. Actions can be placed inside or at the ends of productions. Various parsing strategies like bottom-up can be used to execute the actions at appropriate times during parsing.
This document discusses bottom-up parsing and LR parsing. Bottom-up parsing starts from the leaf nodes of a parse tree and works upward to the root node by applying grammar rules in reverse. LR parsing is a type of bottom-up parsing that uses shift-reduce parsing with two steps: shifting input symbols onto a stack, and reducing grammar rules on the stack. The document describes LR parsers, types of LR parsers like SLR(1) and LALR(1), and the LR parsing algorithm. It also compares bottom-up LR parsing to top-down LL parsing.
Evolutionary process models allow developers to iteratively create increasingly complete versions of software. Examples include the prototyping paradigm, spiral model, and concurrent development model. The prototyping paradigm uses prototypes to elicit requirements from customers. The spiral model couples iterative prototyping with controlled development, dividing the project into framework activities. The concurrent development model concurrently develops components with defined interfaces to enable integration. These evolutionary models allow flexibility and accommodate changes but require strong communication and updated requirements.
This document provides an overview of syntax analysis in compiler design. It discusses context free grammars, derivations, parse trees, ambiguity, and various parsing techniques. Top-down parsing approaches like recursive descent parsing and LL(1) parsing are described. Bottom-up techniques including shift-reduce parsing and operator precedence parsing are also introduced. The document provides examples and practice problems related to grammar rules, derivations, parse trees, and eliminating ambiguity.
The document discusses code optimization techniques in compilers. It covers the following key points:
1. Code optimization aims to improve code performance by replacing high-level constructs with more efficient low-level code while preserving program semantics. It occurs at various compiler phases like source code, intermediate code, and target code.
2. Common optimization techniques include constant folding, propagation, algebraic simplification, strength reduction, copy propagation, and dead code elimination. Control and data flow analysis are required to perform many optimizations.
3. Optimizations can be local within basic blocks, global across blocks, or inter-procedural across procedures. Representations like flow graphs, basic blocks, and DAGs are used to apply optimizations at
The document describes the main phases of a compiler: lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation. Lexical analysis converts characters into tokens. Syntax analysis groups tokens into a parse tree based on grammar rules. Semantic analysis checks types and meanings. Intermediate code generation outputs abstract machine code. Code optimization improves efficiency. Code generation produces target code like assembly.
This document discusses error handling in compilers. It describes different types of errors like lexical errors, syntactic errors, semantic errors, and logical errors. It also discusses various error recovery strategies used by compilers like panic mode recovery, phrase-level recovery, error productions, and global correction. The goals of an error handler are to detect errors quickly, produce meaningful diagnostics, detect subsequent errors after correction, and not slow down compilation. Runtime errors are also discussed along with the challenges in handling them.
Error Recovery strategies and yacc | Compiler DesignShamsul Huda
This document discusses error recovery strategies in compilers and the structure of YACC programs. It describes four common error recovery strategies: panic mode recovery, phrase-level recovery, error productions, and global correction. Panic mode recovery ignores input until a synchronizing token is found. Phrase-level recovery performs local corrections. Error productions add rules to the grammar to detect anticipated errors. Global correction finds a parse tree that requires minimal changes to the input string. The document also provides an overview of YACC, noting that it generates parsers from grammar rules and allows specifying code for each recognized structure. YACC programs have declarations, rules/conditions, and auxiliary functions sections.
This produced by straight forward compiling algorithms made to run faster or less space or both. This improvement is achieved by program transformations that are traditionally called optimizations.compiler that apply-code improving transformation are called optimizing compilers.
The document discusses different representations of intermediate code in compilers, including high-level and low-level intermediate languages. High-level representations like syntax trees and DAGs depict the structure of the source program, while low-level representations like three-address code are closer to the target machine. Common intermediate code representations discussed are postfix notation, three-address code using quadruples/triples, and syntax trees.
The document discusses symbol tables, which are data structures used by compilers to track semantic information about identifiers, variables, functions, classes, etc. It provides details on:
- How various compiler phases like lexical analysis, syntax analysis, semantic analysis, code generation utilize and update the symbol table.
- Common data structures used to implement symbol tables like linear lists, hash tables and how they work.
- The information typically stored for different symbols like name, type, scope, memory location etc.
- Organization of symbol tables for block-structured vs non-block structured languages, including using multiple nested tables vs a single global table.
The document discusses run-time environments in compiler design. It provides details about storage organization and allocation strategies at run-time. Storage is allocated either statically at compile-time, dynamically from the heap, or from the stack. The stack is used to store procedure activations by pushing activation records when procedures are called and popping them on return. Activation records contain information for each procedure call like local variables, parameters, and return values.
Loop optimization is a technique to improve the performance of programs by optimizing the inner loops which take a large amount of time. Some common loop optimization methods include code motion, induction variable and strength reduction, loop invariant code motion, loop unrolling, and loop fusion. Code motion moves loop-invariant code outside the loop to avoid unnecessary computations. Induction variable and strength reduction techniques optimize computations involving induction variables. Loop invariant code motion avoids repeating computations inside loops. Loop unrolling replicates loop bodies to reduce loop control overhead. Loop fusion combines multiple nested loops to reduce the total number of iterations.
This document summarizes graph coloring using backtracking. It defines graph coloring as minimizing the number of colors used to color a graph. The chromatic number is the fewest colors needed. Graph coloring is NP-complete. The document outlines a backtracking algorithm that tries assigning colors to vertices, checks if the assignment is valid (no adjacent vertices have the same color), and backtracks if not. It provides pseudocode for the algorithm and lists applications like scheduling, Sudoku, and map coloring.
This document discusses various techniques for optimizing computer code, including:
1. Local optimizations that improve performance within basic blocks, such as constant folding, propagation, and elimination of redundant computations.
2. Global optimizations that analyze control flow across basic blocks, such as common subexpression elimination.
3. Loop optimizations that improve performance of loops by removing invariant data and induction variables.
4. Machine-dependent optimizations like peephole optimizations that replace instructions with more efficient alternatives.
The goal of optimizations is to improve speed and efficiency while preserving program meaning and correctness. Optimizations can occur at multiple stages of development and compilation.
The document discusses three address code, which is an intermediate code used by optimizing compilers. Three address code breaks expressions down into separate instructions that use at most three operands. Each instruction performs an assignment or binary operation on the operands. The code is implemented using quadruple, triple, or indirect triple representations. Quadruple representation stores each instruction in four fields for the operator, two operands, and result. Triple avoids temporaries by making two instructions. Indirect triple uses pointers to freely reorder subexpressions.
The document discusses error detection and recovery in compilers. It describes how compilers should detect various types of errors and attempt to recover from them to continue processing the program. It covers lexical, syntactic and semantic errors and different strategies compilers can use for error recovery like insertion, deletion or replacement of tokens. It also discusses properties of good error reporting and handling shift-reduce conflicts.
Syntax analysis is the second phase of compiler design after lexical analysis. The parser checks if the input string follows the rules and structure of the formal grammar. It builds a parse tree to represent the syntactic structure. If the input string can be derived from the parse tree using the grammar, it is syntactically correct. Otherwise, an error is reported. Parsers use various techniques like panic-mode, phrase-level, and global correction to handle syntax errors and attempt to continue parsing. Context-free grammars are commonly used with productions defining the syntax rules. Derivations show the step-by-step application of productions to generate the input string from the start symbol.
Syntax directed translation allows semantic information to be associated with a formal language by attaching attributes to grammar symbols and defining semantic rules. There are several types of attributes including synthesized and inherited. Syntax directed definitions specify attribute values using semantic rules associated with grammar productions. Evaluation of attributes requires determining an order such as a topological sort of a dependency graph. Syntax directed translation schemes embed program fragments called semantic actions within grammar productions. Actions can be placed inside or at the ends of productions. Various parsing strategies like bottom-up can be used to execute the actions at appropriate times during parsing.
This document discusses bottom-up parsing and LR parsing. Bottom-up parsing starts from the leaf nodes of a parse tree and works upward to the root node by applying grammar rules in reverse. LR parsing is a type of bottom-up parsing that uses shift-reduce parsing with two steps: shifting input symbols onto a stack, and reducing grammar rules on the stack. The document describes LR parsers, types of LR parsers like SLR(1) and LALR(1), and the LR parsing algorithm. It also compares bottom-up LR parsing to top-down LL parsing.
Evolutionary process models allow developers to iteratively create increasingly complete versions of software. Examples include the prototyping paradigm, spiral model, and concurrent development model. The prototyping paradigm uses prototypes to elicit requirements from customers. The spiral model couples iterative prototyping with controlled development, dividing the project into framework activities. The concurrent development model concurrently develops components with defined interfaces to enable integration. These evolutionary models allow flexibility and accommodate changes but require strong communication and updated requirements.
This document provides an overview of syntax analysis in compiler design. It discusses context free grammars, derivations, parse trees, ambiguity, and various parsing techniques. Top-down parsing approaches like recursive descent parsing and LL(1) parsing are described. Bottom-up techniques including shift-reduce parsing and operator precedence parsing are also introduced. The document provides examples and practice problems related to grammar rules, derivations, parse trees, and eliminating ambiguity.
The document discusses code optimization techniques in compilers. It covers the following key points:
1. Code optimization aims to improve code performance by replacing high-level constructs with more efficient low-level code while preserving program semantics. It occurs at various compiler phases like source code, intermediate code, and target code.
2. Common optimization techniques include constant folding, propagation, algebraic simplification, strength reduction, copy propagation, and dead code elimination. Control and data flow analysis are required to perform many optimizations.
3. Optimizations can be local within basic blocks, global across blocks, or inter-procedural across procedures. Representations like flow graphs, basic blocks, and DAGs are used to apply optimizations at
The document describes the main phases of a compiler: lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation. Lexical analysis converts characters into tokens. Syntax analysis groups tokens into a parse tree based on grammar rules. Semantic analysis checks types and meanings. Intermediate code generation outputs abstract machine code. Code optimization improves efficiency. Code generation produces target code like assembly.
This document discusses error handling in compilers. It describes different types of errors like lexical errors, syntactic errors, semantic errors, and logical errors. It also discusses various error recovery strategies used by compilers like panic mode recovery, phrase-level recovery, error productions, and global correction. The goals of an error handler are to detect errors quickly, produce meaningful diagnostics, detect subsequent errors after correction, and not slow down compilation. Runtime errors are also discussed along with the challenges in handling them.
Error Recovery strategies and yacc | Compiler DesignShamsul Huda
This document discusses error recovery strategies in compilers and the structure of YACC programs. It describes four common error recovery strategies: panic mode recovery, phrase-level recovery, error productions, and global correction. Panic mode recovery ignores input until a synchronizing token is found. Phrase-level recovery performs local corrections. Error productions add rules to the grammar to detect anticipated errors. Global correction finds a parse tree that requires minimal changes to the input string. The document also provides an overview of YACC, noting that it generates parsers from grammar rules and allows specifying code for each recognized structure. YACC programs have declarations, rules/conditions, and auxiliary functions sections.
System software module 4 presentation filejithujithin657
The document discusses the various phases of a compiler:
1. Lexical analysis scans source code and transforms it into tokens.
2. Syntax analysis validates the structure and checks for syntax errors.
3. Semantic analysis ensures declarations and statements follow language guidelines.
4. Intermediate code generation develops three-address codes as an intermediate representation.
5. Code generation translates the optimized intermediate code into machine code.
This document summarizes key concepts about context-free grammars and parsing from Chapter 4 of a compiler textbook. It defines context-free grammars and their components: terminals, nonterminals, a start symbol, and productions. It describes the roles of lexical analysis and parsing in a compiler. Common parsing methods like LL, LR, top-down and bottom-up are introduced. The document also discusses representing language syntax with grammars, handling syntax errors, and strategies for error recovery.
The document discusses syntax error handling in compiler design. It describes the main functions of an error handler as error detection, error reporting, and error recovery. There are three main types of errors: logic errors, run-time errors, and compile-time errors. Compile-time errors occur during compilation and include lexical errors, syntactical errors, semantical errors, and logical errors. The document also discusses different methods for error recovery, including panic mode recovery, phase level recovery, using error productions, and global correction.
The document discusses error handling in compiler design. It notes that error handling is an important compiler feature to detect and report errors. Errors can occur during lexical, syntactic, semantic, and logical analysis phases from issues like incorrect tokens, missing or extra characters, mismatched types, or flawed logic. A good compiler should localize errors, report errors in the source code, and generate clear and concise error messages. The goals of an error handler are to quickly detect errors, allow detecting subsequent errors after corrections, and not slow down compilation.
The document provides an overview of compilers by discussing:
1. Compilers translate source code into executable target code by going through several phases including lexical analysis, syntax analysis, semantic analysis, code optimization, and code generation.
2. An interpreter directly executes source code statement by statement while a compiler produces target code as translation. Compiled code generally runs faster than interpreted code.
3. The phases of a compiler include a front end that analyzes the source code and produces intermediate code, and a back end that optimizes and generates the target code.
Overview of Compiler Passes in Compiler Construction
Compiler construction is a critical field in computer science that involves translating high-level programming languages into machine code. This transformation is achieved through multiple stages, known as "compiler passes," where each pass is responsible for a specific aspect of the compilation process.
1. Compiler Passes: An Introduction
A compiler pass refers to a single traversal of the compiler through the entire source code. Compiler passes can be classified into:
Single Pass Compilers: These process the source code in a single sweep, performing all compilation phases (like lexical analysis, syntax analysis, semantic analysis, optimization, and code generation) in one go.
Multi-Pass Compilers: These process the source code through multiple passes, each dedicated to different tasks such as analysis, optimization, and code generation.
2. Single Pass Compilers
Single pass compilers are straightforward and fast, making them suitable for small and simple programs.
Advantages:
Speed: Faster compilation as the code is not revisited.
Simplicity: Easier to implement due to the straightforward process.
Limitations:
Limited Optimization: The inability to reprocess the code limits optimization capabilities.
Simplified Language Features: The need to handle everything in one pass restricts the language's complexity.
3. Multi-Pass Compilers
Multi-pass compilers offer a more detailed and flexible approach by processing the source code multiple times.
Advantages:
Enhanced Optimization: Multiple passes allow for better optimization, resulting in more efficient machine code.
Support for Complex Languages: Can handle complex language features and constructs.
Disadvantages:
Increased Compilation Time: Additional passes lead to longer compilation times.
Complexity: Designing and maintaining multi-pass compilers is more complex.
4. Intermediate Code Generation
Intermediate code serves as a bridge between high-level source code and target machine code, playing a crucial role in multi-pass compilers.
Benefits:
Portability: Facilitates compiler portability across different platforms.
Optimization: Provides a basis for optimizations that enhance the performance of the final machine code.
Common Forms of Intermediate Code:
Three-Address Code (TAC): Each instruction has up to three addresses, simplifying translation into machine code.
Postfix Notation: Useful for stack-based architectures, simplifies expression evaluation.
Syntax Trees: Provide a hierarchical code representation, aiding intermediate code generation.
5. Symbol Table
The symbol table is a vital data structure in compiler design, storing information about identifiers like variables and functions.
The document provides an overview of problem solving and C programming at a basic knowledge level. It covers various topics including introduction to problem solving, programming languages, introduction to C programming, selection structures, arrays and strings, pointers, functions, structures and unions, and files. The objective is to understand problem solving concepts, appreciate program design, understand C programming elements, and write effective C programs. It discusses steps in program development, algorithms, modular design, coding, documentation, compilation and more.
The compiler is software that converts source code written in a high-level language into machine code. It works in two major phases - analysis and synthesis. The analysis phase performs lexical analysis, syntax analysis, and semantic analysis to generate an intermediate representation from the source code. The synthesis phase performs code optimization and code generation to create the target machine code from the intermediate representation. The compiler uses various components like a symbol table, parser, and code generator to perform this translation.
Compiler design is design of a software that translates the source code written in a high-level programming language (Like C, C++, Java or Python) into the low level language like Machine code, Assembly code or Byte code. It comprises a number of phases where the code is pre-processed, and parsed, its semantics or meaning are checked, and optimized, and then the final executable code is generated
This document discusses parsing and context-free grammars. It defines parsing as verifying that tokens generated by a lexical analyzer follow syntactic rules of a language using a parser. Context-free grammars are defined using terminals, non-terminals, productions and a start symbol. Top-down and bottom-up parsing are introduced. Techniques for grammar analysis and improvement like left factoring, eliminating left recursion, calculating first and follow sets are explained with examples.
The document discusses symbol tables, which are data structures used by compilers to store information about identifiers and other constructs from source code. A symbol table contains entries for each identifier with attributes like name, type, scope, and other properties. It allows efficient access to this information during analysis and synthesis phases of compilation. Symbol tables can be implemented using arrays, binary search trees, or hash tables, with hash tables being commonly used due to fast search times.
Lexical analysis involves breaking input text into tokens. It is implemented using regular expressions to specify token patterns and a finite automaton to recognize tokens in the input stream. Lex is a tool that allows specifying a lexical analyzer by defining regular expressions for tokens and actions to perform on each token. It generates code to simulate the finite automaton for token recognition. The generated lexical analyzer converts the input stream into tokens by matching input characters to patterns defined in the Lex source program.
Lexical analysis is the first phase of compilation. It reads source code characters and divides them into tokens by recognizing patterns using finite automata. It separates tokens, inserts them into a symbol table, and eliminates unnecessary characters. Tokens are passed to the parser along with line numbers for error handling. An input buffer is used to improve efficiency by reading source code in blocks into memory rather than character-by-character from secondary storage. Lexical analysis groups character sequences into lexemes, which are then classified as tokens based on patterns.
Files in Python represent sequences of bytes stored on disk for permanent storage. They can be opened in different modes like read, write, append etc using the open() function, which returns a file object. Common file operations include writing, reading, seeking to specific locations, and closing the file. The with statement is recommended for opening and closing files to ensure they are properly closed even if an exception occurs.
Regular expressions are a powerful tool for searching, parsing, and modifying text patterns. They allow complex patterns to be matched with simple syntax. Some key uses of regular expressions include validating formats, extracting data from strings, and finding and replacing substrings. Regular expressions use special characters to match literal, quantified, grouped, and alternative character patterns across the start, end, or anywhere within a string.
The document defines algorithms and describes their characteristics and design techniques. It states that an algorithm is a step-by-step procedure to solve a problem and get the desired output. It discusses algorithm development using pseudocode and flowcharts. Various algorithm design techniques like top-down, bottom-up, incremental, divide and conquer are explained. The document also covers algorithm analysis in terms of time and space complexity and asymptotic notations like Big-O, Omega and Theta to analyze best, average and worst case running times. Common time complexities like constant, linear, quadratic, and exponential are provided with examples.
The document introduces data structures and algorithms, explaining that a good computer program requires both an efficient algorithm and an appropriate data structure. It defines data structures as organized ways to store and relate data, and algorithms as step-by-step processes to solve problems. Additionally, it discusses why studying data structures and algorithms is important for developing better programs and software applications.
This document discusses decision making and loops in Python. It begins with an introduction to decision making using if/else statements and examples of checking conditions. It then covers different types of loops - for, while, and do-while loops. The for loop is used when the number of iterations is known, while the while loop is used when it is unknown. It provides examples of using range() with for loops and examples of while loops.
This document contains a list of 12 basic Python programs presented by Akhil Kaushik, an Assistant Professor from TIT Bhiwani. The programs cover topics such as adding numbers, taking user input, adding different data types, calculator operations, comparisons, logical operations, bitwise operations, assignment operations, swapping numbers, random number generation, and working with dates and times. Contact information for Akhil Kaushik is provided at the top and bottom of the document.
This document provides an overview of key concepts in Python including:
- Python is a dynamically typed language where variables are not explicitly defined and can change type.
- Names and identifiers in Python are case sensitive and follow specific conventions.
- Python uses indentation rather than brackets to define blocks of code.
- Core data types in Python include numeric, string, list, tuple, dictionary, set, boolean and file types. Each has specific characteristics and operators.
This document provides an introduction to Python programming. It discusses that Python is an interpreted, object-oriented, high-level programming language with simple syntax. It then covers the need for programming languages, different types of languages, and translators like compilers, interpreters, assemblers, linkers, and loaders. The document concludes by discussing why Python is popular for web development, software development, data science, and more.
This document provides an overview of compilers, including their structure and purpose. It discusses:
- What a compiler is and its main functions of analysis and synthesis.
- The history and need for compilers, from early assembly languages to modern high-level languages.
- The structure of a compiler, including lexical analysis, syntax analysis, semantic analysis, code optimization, and code generation.
- Different types of translators like interpreters, assemblers, and linkers.
- Tools that help in compiler construction like scanner generators, parser generators, and code generators.
The document discusses tombstone diagrams, which use puzzle pieces to represent language processors and programs. It then explains bootstrapping, which refers to using a compiler to compile itself. This allows obtaining a compiler for a new target machine by first writing a compiler in a high-level language, compiling it on the original machine, and then using the output compiler to compile itself on the new target machine. The document provides examples of using bootstrapping to generate cross-compilers that run on one machine but produce code for another.
Compiler construction tools were introduced to aid in the development of compilers. These tools include scanner generators, parser generators, syntax-directed translation engines, and automatic code generators. Scanner generators produce lexical analyzers based on regular expressions to recognize tokens. Parser generators take context-free grammars as input to produce syntax analyzers. Syntax-directed translation engines associate translations with parse trees to generate intermediate code. Automatic code generators take intermediate code as input and output machine language. These tools help automate and simplify the compiler development process.
The document discusses the phases of compilation:
1. The front-end performs lexical, syntax and semantic analysis to generate an intermediate representation and includes error handling.
2. The back-end performs code optimization and generation to produce efficient machine-specific code from the intermediate representation.
3. Key phases include lexical and syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation.
This document provides an overview of compilers and translation processes. It defines a compiler as a program that transforms source code into a target language like assembly or machine code. Compilers perform analysis on the source code and synthesis to translate it. Compilers can be one-pass or multi-pass. Other translators include preprocessors, interpreters, assemblers, linkers, loaders, cross-compilers, language converters, rewriters, and decompilers. The history and need for compilers and programming languages is also discussed.
As of Mid to April Ending, I am building a new Reiki-Yoga Series. No worries, they are free workshops. So far, I have 3 presentations so its a gradual process. If interested visit: https://www.slideshare.net/YogaPrincess
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Blessings and Happy Spring. We are hitting Mid Season.
How to Customize Your Financial Reports & Tax Reports With Odoo 17 AccountingCeline George
The Accounting module in Odoo 17 is a complete tool designed to manage all financial aspects of a business. Odoo offers a comprehensive set of tools for generating financial and tax reports, which are crucial for managing a company's finances and ensuring compliance with tax regulations.
A measles outbreak originating in West Texas has been linked to confirmed cases in New Mexico, with additional cases reported in Oklahoma and Kansas. The current case count is 817 from Texas, New Mexico, Oklahoma, and Kansas. 97 individuals have required hospitalization, and 3 deaths, 2 children in Texas and one adult in New Mexico. These fatalities mark the first measles-related deaths in the United States since 2015 and the first pediatric measles death since 2003.
The YSPH Virtual Medical Operations Center Briefs (VMOC) were created as a service-learning project by faculty and graduate students at the Yale School of Public Health in response to the 2010 Haiti Earthquake. Each year, the VMOC Briefs are produced by students enrolled in Environmental Health Science Course 581 - Public Health Emergencies: Disaster Planning and Response. These briefs compile diverse information sources – including status reports, maps, news articles, and web content– into a single, easily digestible document that can be widely shared and used interactively. Key features of this report include:
- Comprehensive Overview: Provides situation updates, maps, relevant news, and web resources.
- Accessibility: Designed for easy reading, wide distribution, and interactive use.
- Collaboration: The “unlocked" format enables other responders to share, copy, and adapt seamlessly. The students learn by doing, quickly discovering how and where to find critical information and presenting it in an easily understood manner.
CURRENT CASE COUNT: 817 (As of 05/3/2025)
• Texas: 688 (+20)(62% of these cases are in Gaines County).
• New Mexico: 67 (+1 )(92.4% of the cases are from Eddy County)
• Oklahoma: 16 (+1)
• Kansas: 46 (32% of the cases are from Gray County)
HOSPITALIZATIONS: 97 (+2)
• Texas: 89 (+2) - This is 13.02% of all TX cases.
• New Mexico: 7 - This is 10.6% of all NM cases.
• Kansas: 1 - This is 2.7% of all KS cases.
DEATHS: 3
• Texas: 2 – This is 0.31% of all cases
• New Mexico: 1 – This is 1.54% of all cases
US NATIONAL CASE COUNT: 967 (Confirmed and suspected):
INTERNATIONAL SPREAD (As of 4/2/2025)
• Mexico – 865 (+58)
‒Chihuahua, Mexico: 844 (+58) cases, 3 hospitalizations, 1 fatality
• Canada: 1531 (+270) (This reflects Ontario's Outbreak, which began 11/24)
‒Ontario, Canada – 1243 (+223) cases, 84 hospitalizations.
• Europe: 6,814
The Pala kings were people-protectors. In fact, Gopal was elected to the throne only to end Matsya Nyaya. Bhagalpur Abhiledh states that Dharmapala imposed only fair taxes on the people. Rampala abolished the unjust taxes imposed by Bhima. The Pala rulers were lovers of learning. Vikramshila University was established by Dharmapala. He opened 50 other learning centers. A famous Buddhist scholar named Haribhadra was to be present in his court. Devpala appointed another Buddhist scholar named Veerdeva as the vice president of Nalanda Vihar. Among other scholars of this period, Sandhyakar Nandi, Chakrapani Dutta and Vajradatta are especially famous. Sandhyakar Nandi wrote the famous poem of this period 'Ramcharit'.
INTRO TO STATISTICS
INTRO TO SPSS INTERFACE
CLEANING MULTIPLE CHOICE RESPONSE DATA WITH EXCEL
ANALYZING MULTIPLE CHOICE RESPONSE DATA
INTERPRETATION
Q & A SESSION
PRACTICAL HANDS-ON ACTIVITY
K12 Tableau Tuesday - Algebra Equity and Access in Atlanta Public Schoolsdogden2
Algebra 1 is often described as a “gateway” class, a pivotal moment that can shape the rest of a student’s K–12 education. Early access is key: successfully completing Algebra 1 in middle school allows students to complete advanced math and science coursework in high school, which research shows lead to higher wages and lower rates of unemployment in adulthood.
Learn how The Atlanta Public Schools is using their data to create a more equitable enrollment in middle school Algebra classes.
Social Problem-Unemployment .pptx notes for Physiotherapy StudentsDrNidhiAgarwal
Unemployment is a major social problem, by which not only rural population have suffered but also urban population are suffered while they are literate having good qualification.The evil consequences like poverty, frustration, revolution
result in crimes and social disorganization. Therefore, it is
necessary that all efforts be made to have maximum.
employment facilities. The Government of India has already
announced that the question of payment of unemployment
allowance cannot be considered in India
Multi-currency in odoo accounting and Update exchange rates automatically in ...Celine George
Most business transactions use the currencies of several countries for financial operations. For global transactions, multi-currency management is essential for enabling international trade.
How to manage Multiple Warehouses for multiple floors in odoo point of saleCeline George
The need for multiple warehouses and effective inventory management is crucial for companies aiming to optimize their operations, enhance customer satisfaction, and maintain a competitive edge.
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World war-1(Causes & impacts at a glance) PPT by Simanchala Sarab(BABed,sem-4...larencebapu132
This is short and accurate description of World war-1 (1914-18)
It can give you the perfect factual conceptual clarity on the great war
Regards Simanchala Sarab
Student of BABed(ITEP, Secondary stage)in History at Guru Nanak Dev University Amritsar Punjab 🙏🙏
2. Error Handling
• It is an important feature of any compiler.
• A good compiler should be able to detect and report
errors.
• It should be able to modify input, when it finds an
error in lexical analysis phase.
• A more sophisticated compiler should be able to
correct the errors, by making guess of user
intentions.
3. Error Handling
• The most important feature of error handler is
correct and more centric error message.
• It should following properties:-
– Reporting errors in original source program, rather than
intermediate or final code.
– Error message shouldn’t be complicated.
– Error message shouldn’t be duplicated.
– Error message should localize the problem.
4. Sources of Error
• Algorithmic Errors:-
– The algorithm used to meet the design may be
inadequate or incorrect.
• Coding Errors:-
– The programmer may introduce syntax or logical errors
in implementing the algorithms.
5. Sources of Error
• Lexical Phase:-
– wrongly formed identifiers (or tokens).
– Some character used which is undefined in PL.
– Addition of an extra character.
– Removal of a character that should be present.
– Replacement of a character with an incorrect characters.
– Transposition of 2 characters.
6. Sources of Error
• Lexical Phase:-
– Best way to handle a lexical error is to find the closest
character sequence that does match a pattern (takes
long time & unpractical)
– Another way is to feed lexical analyzer – a list of
legitimate token available to the error recovery routines.
– Or generate an error.
7. Sources of Error
• Syntactic:-
– Comma instead of a semi-colon.
– Misspelled keywords, operators.
– Two expressions not connected by operator.
– Null expression between parenthesis
– Unbalanced parenthesis
– Handle is absent
• Usually, panic mode or phrase-level recovery is
used.
8. Sources of Error
• Semantic:
– Declaration and scope errors like use of undeclared
or multi-declared identifiers, type mismatch, etc.
– In case of undeclared name, make an entry in the
Symbol table & its attributes.
– Set a flag in ST that it was done due to an error
rather than declaration.
9. Sources of Error
• Logical:
– Syntax is correct, but wrong logic applied to programmer.
– Most difficult to recover.
– Hard to detect by compiler.
10. Goals of Error Handler
• Detect errors quickly and produce meaningful
diagnostic.
• Detect subsequent errors after an error correction.
• It shouldn’t slow down compilation.
11. Goals of Error Handler
Program submitted to a compiler often have errors of
various kinds:-
• So, good compiler should be able to detect as many
errors as possible in various ways.
• Even in the presence of errors ,the compiler should
scan the program and try to compile all of it.(error
recovery).
12. Goals of Error Handler
• When the scanner or parser finds an error and
cannot proceed ?
• Then, the compiler must modify the input so that the
correct portions of the program can be pieced
together and successfully processed in the syntax
analysis phase.
13. CORRECTING COMPILER
• These compilers does the job of error recovery not
only from the compiler point of view but also from
the programmers point of view.
• Ex:PL/C
• But, error recovery should not lead to misleading or
spurious error messages elsewhere (error
propagation).
14. Run-Time Errors
• Indication of run time errors is another neglected
area in compiler design.
• Because, code generated to monitor these
violations increases the target program size, which
leads to slow execution.
• So these checks are included as “debugging
options”.
15. Error Recovery Strategies
There are four common error-recovery strategies that
can be implemented in the parser to deal with errors
in the code:-
• Panic mode recovery
• Phrase-level recovery
• Error productions
• Global correction
16. Error Recovery Strategies
Panic Mode Recovery:-
• Once an error is found, the parser intends to find
designated set of synchronizing tokens (delimiters,
semicolon or } ) by discarding input symbols one at
a time.
• When parser finds an error in the statement, it
ignores the rest of the statement by not processing
the input.
17. Error Recovery Strategies
Panic Mode Recovery:-
• This is the easiest way of error-recovery.
• It prevents the parser from developing infinite loops.
• Ex: a=b + c // no semi-colon
• d=e + f ;
• The compiler will discard all subsequent tokens till a
semi-colon is encountered.
18. Error Recovery Strategies
Phrase-level Recovery:-
• Perform local correction on the remaining input i.e.
localize the problem and then do error recovery.
• It’s a fast way for error recovery.
• Ex: A typical local correction is to replace a comma
by a semicolon.
• Ex: Delete an extraneous semicolon and Insert a
missing semicolon.
19. Error Recovery Strategies
Error Productions:-
• Add rules to grammar that describe the erroneous
syntax.
• It may resolve many, but not all potential errors.
• Good idea about common errors is found & their
appropriate solution is stored.
• These productions detect the anticipated errors
during parsing.
20. Error Recovery Strategies
Error Productions:-
• Ex: E→ +E | -E | *E | /E
• Here, the last two are error situations.
• Now, we change the grammar as:
E→ +E | -E | *A | /A
A→ E
• Hence, once it encounters *A, it sends an error
message asking the user if he is sure he wants to
use a unary “*”.
21. Error Recovery Strategies
Global Correction:-
• Compiler to make as few changes as possible in
processing an incorrect input string.
• Given an incorrect input string x and grammar g,
algorithms will find a parse tree for a related string y,
such that the number of insertions, deletions, and
changes of tokens required to transform x into y is
as small as possible.
22. Error Recovery Strategies
Global Correction:-
• It does the global analysis to find the errors.
• Expensive method & not practically used.
• Costly in terms of time & space.