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Representation, Syntax, Paradigms, Types. Representation Formal Syntax Paradigms Data Types Type Inference. General Issues. Representation (of data, of computation) Form (Syntax) Meaning (Semantics) Paradigm (General way of thinking) Naming (names, name spaces, bindings, locality)
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Representation, Syntax, Paradigms, Types • Representation • Formal Syntax • Paradigms • Data Types • Type Inference CSE 341 -- S. Tanimoto Syntax and Types
General Issues Representation (of data, of computation) Form (Syntax) Meaning (Semantics) Paradigm (General way of thinking) Naming (names, name spaces, bindings, locality) Functionality (numeric, data manip, I/O, communication, synchronization, security) Correctness (types, exception handling, error checking, bug avoidance) CSE 341 -- S. Tanimoto Syntax and Types
Syntax Syntax: The grammatical form of programs. vs Semantics: The meaning of the program Syntax (of textual languages) is typically specified by production rules for a context-free grammar using Backus-Naur Form (BNF) or Extended BNF (EBNF) In visual languages, syntax is described by a set of restrictions on how diagrams may be constructed. (e.g., connection constraints) CSE 341 -- S. Tanimoto Syntax and Types
Syntactic Components Identifiers and reserved words Numeric constants Parentheses, braces and brackets Expressions Statements CSE 341 -- S. Tanimoto Syntax and Types
BNF (Backus-Naur Form) (2.0 * PI) / n <expression> ::= <expression> + <term> | <expression> - <term> | <term> <term> ::= <term> * <factor> | <term> / <factor> | <factor> <factor> ::= number | name | ( <expression> ) CSE 341 -- S. Tanimoto Syntax and Types
Extended BNF Optional constructs written as [ x ] Zero or more of x written as { x } Choice (“or”) written using | Grouping with parentheses ( x | y ) as in { (x | y ) z } <expression> ::= <term> { (+ | -) <term> } <term> ::= <factor> { (* | /) <factor> } <factor> ::= ’(’ <expression> ’)’ | name | number CSE 341 -- S. Tanimoto Syntax and Types
Derivation E ::= E + T | E - T | T T ::= T * F | T / F | F F ::= number | name | ( E ) E E + T T + T T / F + T F / F + T F / F + F 25 / F + F 25 / 100 + F 25 / 100 + total CSE 341 -- S. Tanimoto Syntax and Types
Representation of Data Constants, Variables Types, classes Compounds: arrays, structures. Non-numeric objects: strings, images, audio. Values vs references Machine dependencies: word size, addressing resolution. In C, characters and booleans are actually integers. CSE 341 -- S. Tanimoto Syntax and Types
Representation of Process Arithmetic and logical expressions Conditional expressions Loops Recursive and nonrecursive functions Multiple threads of control, forking, joining, synchronizing Single-threaded Parallel processing (in Single-instruction stream/multiple data stream processors) Throwing and catching of exceptions Declaration of constraints and rules CSE 341 -- S. Tanimoto Syntax and Types
Paradigm General style of thinking that underlies a programming language Webster’s New World Dictionary: “a pattern, example, or model”. Imperative Rule-based Functional Logic Object-oriented Visual data-flow CSE 341 -- S. Tanimoto Syntax and Types
The Imperative Paradigm An imperative program is a sequence of commands Read a value from a file. Evaluate an arithmetic expression. Assign a value to a variable. Test a condition and branch if it is true. Iterate a loop body until a condition is false. Print a value onto the screen. CSE 341 -- S. Tanimoto Syntax and Types
The Functional Paradigm An functional program is a collection of function definitions and function applications. Define SQR(x): { Apply the * function to x and x} Apply SQR to 7; CSE 341 -- S. Tanimoto Syntax and Types
The Object-Oriented Paradigm An object-oriented program is a collection of object class definitions, in which both data members and methods are specified. Class Student extends Person { int student_number; int get_student_number() { return student_number; } int set_student_number (int num) { student_number = num; } CSE 341 -- S. Tanimoto Syntax and Types
The Rule-Based Paradigm A rule-based program is a collection of if-then rules. if name = "" then input name; if name starts with "A" then print "Early in the alphabet"; CSE 341 -- S. Tanimoto Syntax and Types
The Logic-Programming Paradigm A logic program is a collection of logical propositions and questions. If x is a bird or an airplane, then x has wings. Tweety is a bird. Does Tweety have wings? CSE 341 -- S. Tanimoto Syntax and Types
The Visual Data-Flow Paradigm A visual data-flow program is a diagram in which boxes represent operations and arrows indicate the flow of data from outputs of operations to inputs of other operations. 3x2 + 5x + 8 3 * * input x + * + 5 8 CSE 341 -- S. Tanimoto Syntax and Types
Types Category or class for a value (or object) that permits its bits to be interpreted. Central Processing Unit instruction sets recognize certain types, such as integers and floats of different sizes. A programming language is not limited to the types that are directly supported by the CPU. CSE 341 -- S. Tanimoto Syntax and Types
Strong vs Weak Typing Strong typing: (static and usually monomorphic) Every variable must have a type. A variable may receive only values of its type. Type-related bugs can be reduced. Type identification tags are not needed a run time. Weak typing: (dynamic and usually polymorphic) Variables need not be declared with particular types. The type of value held by a variable can change dynamically. Values must be tagged during execution with their types. CSE 341 -- S. Tanimoto Syntax and Types
Coercion and Contagion Coercion: Any automatic type conversion. A value of type A is being assigned to a variable of type B. The value is coerced into one of type B. double x = 3 * 5; Contagion: Values of lower precision “catch” the precision of their higher precision co-arguments. int y = 10 * (3.1415 / 10); /* result is 3, not 0. */ In Common Lisp, when a rational meets a float, the rule of floating-point contagion rules. CSE 341 -- S. Tanimoto Syntax and Types
Type Inference With weak typing, type inference is needed. (But ML, which is strongly typed, also uses a kind of type inference.) The resulting type can be determined from the types of the arguments, and the nature of the operations. Contagion provides one method for type inference: With strong typing, means for determining type equivalence are needed. int x[10]; int y[10]; Here x and y have structurally equivalent types. C and C++ recognize structurally equivalent types as equivalent. In Modula, most structurally equivalent types are not automatically considered equivalent, but they can be declared equivalent. CSE 341 -- S. Tanimoto Syntax and Types