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Boolean Expressions: Boolean Data Type • the Boolean Data Type Was Boolean Expressions: Boolean Data Type • The Boolean data type was discussed earlier { It has only two values: True and false { But - as discussed at that time - almost any value of any other data type can represent true or false ∗ False is represented by the null/empty/zero value of other data types: 0, 0.0, "" (the empty string), [ ] (the empty list), etc. ∗ True is represented by the non-null/non-empty/non-zero values 1 Boolean Expressions: Boolean Operators • Return a Boolean value • Types: { Relational operators ∗ Operators: 1. == (equivalent to) 2. != (not equal) 3. < 4. > 5. <= 6. >= ∗ See earlier precedence/associativity table { Logical operators 1. and (logical and) 2. or (logical or) 3. not (logical not) ∗ Arguments must be boolean ∗ Values represented by truth tables: Graphical way of expressing value of boolean expression A B A and B A or B not A true true true true false true false false true false false true false true true false false false false true { Object comparison operators 1. is (same object) 2. is not (not same object) { See earlier precedence/associativity table 2 Boolean Expressions: Expressions • Short-circuit (lazy) evaluation { Given a logical expression, Python will stop evaluation as soon as the result is known { For example: If A is false in A and B, B will not be evaluated { Similarly, for A or B, if A is true { This is convenient for situations like if ((x != 0) and (y / x > 10)) ... { Of special note: and and or return the value of the last expression evaluated: >>>1 and 0 0 >>>0 and 1 0 >>>1 and 2 2 • DeMorgan's Laws { not (A and B) ≡ not A or not B { not (A or B) ≡ not A and not B • Boolean variables { Often have names like is done, is zero, is valid 3 Boolean Expressions: Cautions • English does not translate directly to Boolean expressions { "If the value is 4 or 5, ...." { Wrong: x == 4 or 5 ... { Right: (x == 4) or (x == 5) • Do not compare floats for equality { Consider 1.11 - 1.10 and 2.11 - 2.10 ∗ Algebraically they should both equal 0.01, but computationally? { Rather than comparing floats for equality, it is better to see if their differ- ence is within some small range { Wrong: x == 0:50000 { Right: math:abs(x − 0:50000) < 0:000001 • Consider the English statement "x is between 10 and 20" { This could be written as (x > 10) and (x < 20) { Python allows this to be written more conveniently the same way as it would be algebraically: 10 < x < 20 • Knowing the precedence and associativity rules lets you write 0 <= x and y >= z knowing that the two relational expressions will be evaluated first, then the and { Many programmers prefer to use parens even in situations like this for clar- ity (0 <= x) and (y >= z) 4 Boolean Expressions: Equivalence v Same Objects • There is a subtle distinction between equivalence (==) and using Boolean operators is and is not • Consider >>>5 == 5 True >>>5.3 == 5.3 True >>>5 + 2j == 5 + 2j True >>>"abc" == "abc" True >>>[1, 2, 3] == [1, 2, 3] True >>>(1, 2, 3) == (1, 2, 3) True { Equivalence returns True if its arguments have the same value • But now consider >>>5 is 5 True >>>5.3 is 5.3 True >>>5 + 2j is 5 + 2j True >>>"abc" is "abc" True >>>[1, 2, 3] is [1, 2, 3] False >>>(1, 2, 3) is (1, 2, 3) False 5 Boolean Expressions: Equivalence v Same Objects (2) • The reason for the difference has to do with how the values are stored in memory { is returns True if its arguments point to the same location { In the case of the comparison of scalar values (and strings), all references are to the same location { In the case of the comparison of collections, each value is at a different location { But when one variable is assigned to another, they end up pointing to the same location 6 Boolean Expressions: Equivalence v Same Objects (3) • Even more confusingly >>>x = 5 >>>y = 5 >>>x is y True >>>x = 5.3 >>>y = 5.3 >>>x is y False • When variables are assigned, { Unique int values are stored in the same location { Unique float values are not 7.
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