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Course: CIS 500, Fall 2009
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500 ' $ CIS Software Foundations Fall 2004 6 October & CIS 500, 6 October 1 % ' Midterm 1 is next Wednesday $ Todays lecture will not be covered by the midterm. Next Monday, review class. Old exams and review questions on webpage. No recitation sections next week. New oce hours next week, watch newsgroup for details. & CIS 500, 6 October 2 % ' Where weve been: Inductive denitions...

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500 ' $ CIS Software Foundations Fall 2004 6 October & CIS 500, 6 October 1 % ' Midterm 1 is next Wednesday $ Todays lecture will not be covered by the midterm. Next Monday, review class. Old exams and review questions on webpage. No recitation sections next week. New oce hours next week, watch newsgroup for details. & CIS 500, 6 October 2 % ' Where weve been: Inductive denitions abstract syntax inference rules Proofs by structural induction Operational semantics The lambda-calculus Plans $ Typing rules and type soundness & CIS 500, 6 October 3 % ' Where weve been: Inductive denitions abstract syntax inference rules Proofs by structural induction Operational semantics The lambda-calculus Plans $ Typing rules and type soundness Where were going: Simple types for the lambda-calculus Formalizing more features of real-world languages (records, datatypes, references, exceptions, etc.) Subtyping & Objects 3-a CIS 500, 6 October % ' $ The Simply Typed Lambda-Calculus & CIS 500, 6 October 4 % ' t ::= Lambda-calculus with booleans terms x x.t t t true false if t then t else t variable abstraction application constant true constant false conditional values x.t true false abstraction value true value false value $ v ::= & CIS 500, 6 October 5 % ' T ::= Bool TT Simple Types types type of booleans types of functions $ & CIS 500, 6 October 6 % ' Typing rules true : Bool false : Bool t1 : Bool t2 : T t3 : T (T-True) (T-False) (T-If) $ if t1 then t2 else t3 : T & CIS 500, 6 October 7 % ' Typing rules true : Bool false : Bool t1 : Bool t2 : T t3 : T (T-True) (T-False) (T-If) $ if t1 then t2 else t3 : T (T-Var) x:T & CIS 500, 6 October 7-a % ' Typing rules true : Bool false : Bool t1 : Bool t2 : T t3 : T (T-True) (T-False) (T-If) $ if t1 then t2 else t3 : T x:T x:T (T-Var) & CIS 500, 6 October 7-b % ' Typing rules t1 : Bool true : Bool false : Bool t2 : T t3 : T (T-True) (T-False) (T-If) $ if t1 then t2 else t3 : T x:T x:T (T-Var) & CIS 500, 6 October 7-c % ' Typing rules t1 : Bool true : Bool false : Bool t2 : T t3 : T (T-True) (T-False) (T-If) $ if t1 then t2 else t3 : T x:T , x:T1 x:T t2 : T2 (T-Abs) (T-Var) x:T1 .t2 : T1 T2 & CIS 500, 6 October 7-d % ' Typing rules t1 : Bool true : Bool false : Bool t2 : T t3 : T (T-True) (T-False) (T-If) $ if t1 then t2 else t3 : T x:T , x:T1 x:T t2 : T2 (T-Abs) t2 : T11 (T-Var) x:T1 .t2 : T1 T2 (T-App) t1 : T11 T12 t1 t2 : T12 & CIS 500, 6 October 7-e % ' Typing Derivations $ What derivations justify the following typing statements? (x:Bool.x) true : Bool f:BoolBool f:BoolBool f (if false then true else false) : Bool x:Bool. f (if x then false else x) : BoolBool & CIS 500, 6 October 8 % ' Properties of $ As before, the fundamental property of the type system we have just dened is soundness with respect to the operational semantics. & CIS 500, 6 October 9 % ' Properties of $ As before, the fundamental property of the type system we have just dened is soundness with respect to the operational semantics. 1. Progress: A closed, well-typed term is not stuck If t : T, then either t is a value or else t t for some t . 2. Preservation: Types are preserved by one-step evaluation If t : T and t t , then t : T. & CIS 500, 6 October 9-a % ' Same steps as before... Proving progress $ & CIS 500, 6 October 10 % ' Same steps as before... Proving progress $ inversion lemma for typing relation canonical forms lemma progress theorem & CIS 500, 6 October 10-a % ' Typing rules again (for reference) t1 : Bool true : Bool false : Bool t2 : T t3 : T (T-True) (T-False) (T-If) $ if t1 then t2 else t3 : T x:T , x:T1 x:T t2 : T2 (T-Abs) t2 : T11 (T-Var) x:T1 .t2 : T1 T2 (T-App) t1 : T11 T12 t1 t2 : T12 & CIS 500, 6 October 11 % ' Lemma: 1. If 2. If Inversion true : R, then R = Bool. false : R, then R = Bool. t1 : Bool and $ 3. If if t1 then t2 else t3 : R, then t2 , t3 : R. & CIS 500, 6 October 12 % ' Lemma: 1. If 2. If Inversion true : R, then R = Bool. false : R, then R = Bool. t1 : Bool and $ 3. If if t1 then t2 else t3 : R, then t2 , t3 : R. 4. If x : R, then & CIS 500, 6 October 12-a % ' Lemma: 1. If 2. If Inversion true : R, then R = Bool. false : R, then R = Bool. t1 : Bool and $ 3. If if t1 then t2 else t3 : R, then t2 , t3 : R. 4. If x : R, then x:R . & CIS 500, 6 October 12-b % ' Lemma: 1. If 2. If Inversion true : R, then R = Bool. false : R, then R = Bool. t1 : Bool and $ 3. If if t1 then t2 else t3 : R, then t2 , t3 : R. 4. If 5. If x : R, then x:R . x:T1 .t2 : R, then & CIS 500, 6 October 12-c % ' Lemma: 1. If 2. If Inversion true : R, then R = Bool. false : R, then R = Bool. t1 : Bool and $ 3. If if t1 then t2 else t3 : R, then t2 , t3 : R. 4. If 5. If x : R, then x:R . x:T1 .t2 : R, then R = T1 R2 for some R2 with , x:T1 t 2 : R2 . & CIS 500, 6 October 12-d % ' Lemma: 1. If 2. If Inversion true : R, then R = Bool. false : R, then R = Bool. t1 : Bool and $ 3. If if t1 then t2 else t3 : R, then t2 , t3 : R. 4. If 5. If 6. If x : R, then x:R . x:T1 .t2 : R, then R = T1 R2 for some R2 with , x:T1 t1 t2 : R, then t 2 : R2 . & CIS 500, 6 October 12-e % ' Lemma: 1. If 2. If Inversion true : R, then R = Bool. false : R, then R = Bool. t1 : Bool and $ 3. If if t1 then t2 else t3 : R, then t2 , t3 : R. 4. If 5. If x : R, then x:R . x:T1 .t2 : R, then R = T1 R2 for some R2 with , x:T1 t 2 : R2 . 6. If t1 t2 : R, then there is some type T11 such that and t2 : T11 . t1 : T11 R & CIS 500, 6 October 12-f % ' Lemma: Canonical Forms $ & CIS 500, 6 October 13 % ' Lemma: Canonical Forms $ 1. If v is a value of type Bool, then & CIS 500, 6 October 13-a % ' Lemma: Canonical Forms $ 1. If v is a value of type Bool, then v is either true or false. & CIS 500, 6 October 13-b % ' Lemma: Canonical Forms $ 1. If v is a value of type Bool, then v is either true or false. 2. If v is a value of type T1 T2 , then & CIS 500, 6 October 13-c % ' Lemma: Canonical Forms $ 1. If v is a value of type Bool, then v is either true or false. 2. If v is a value of type T1 T2 , then v has the form x:T1 .t2 . & CIS 500, 6 October 13-d % ' Progress $ Theorem: Suppose t is a closed, well-typed term (that is, t : T for some T). Then either t is a value or else there is some t with t t . Proof: By induction & CIS 500, 6 October 14 % ' Progress $ Theorem: Suppose t is a closed, well-typed term (that is, t : T for some T). Then either t is a value or else there is some t with t t . Proof: By induction on typing derivations. & CIS 500, 6 October 14-a % ' Progress $ Theorem: Suppose t is a closed, well-typed term (that is, t : T for some T). Then either t is a value or else there is some t with t t . Proof: By induction on typing derivations. The cases for boolean constants and conditions are the same as before. The variable case is trivial (because t is closed). The abstraction case is immediate, since abstractions are values. & CIS 500, 6 October 14-b % ' Progress $ Theorem: Suppose t is a closed, well-typed term (that is, t : T for some T). Then either t is a value or else there is some t with t t . Proof: By induction on typing derivations. The cases for boolean constants and conditions are the same as before. The variable case is trivial (because t is closed). The abstraction case is immediate, since abstractions are values. Consider the case for application, where t = t1 t2 with t2 : T11 . t1 : T11 T12 and & CIS 500, 6 October 14-c % ' Progress $ Theorem: Suppose t is a closed, well-typed term (that is, t : T for some T). Then either t is a value or else there is some t with t t . Proof: By induction on typing derivations. The cases for boolean constants and conditions are the same as before. The variable case is trivial (because t is closed). The abstraction case is immediate, since abstractions are values. Consider the case for application, where t = t1 t2 with t1 : T11 T12 and t2 T11 : . By the induction hypothesis, either t1 is a value or else it can make a step of evaluation, and likewise t2 . & CIS 500, 6 October 14-d % ' Progress $ Theorem: Suppose t is a closed, well-typed term (that is, t : T for some T). Then either t is a value or else there is some t with t t . Proof: By induction on typing derivations. The cases for boolean constants and conditions are the same as before. The variable case is trivial (because t is closed). The abstraction case is immediate, since abstractions are values. Consider the case for application, where t = t1 t2 with t1 : T11 T12 and t2 : T11 . By the induction hypothesis, either t1 is a value or else it can make a step of evaluation, and likewise t2 . If t1 can take a step, then rule E-App1 applies to t. If t1 is a value and t2 can take a step, then rule E-App2 applies. Finally, if both t1 and t2 are values, then the canonical forms lemma tells us that t1 has the form x:T11 .t12 , and so rule E-AppAbs applies to t. & CIS 500, 6 October 14-e % ' Theorem: If Proving Preservation t : T and t t , then t : T. $ Proof: By induction & CIS 500, 6 October 15 % ' Theorem: If Proving Preservation t : T and t t , then t : T. $ Proof: By induction on typing derivations. [Which case is the hard one?] & CIS 500, 6 October 15-a % ' Theorem: If Proving Preservation t : T and t t , then t : T. $ Proof: By induction on typing derivations. [Which case is the hard one?] Case T-App: Given t = t 1 t2 t1 : T11 T12 t2 : T11 t : T12 T = T12 Show & CIS 500, 6 October 15-b % ' Theorem: If Proving Preservation t : T and t t , then t : T. $ Proof: By induction on typing derivations. [Which case is the hard one?] Case T-App: Given t = t 1 t2 t1 : T11 T12 t2 : T11 T = T12 Show t : T12 By the inversion lemma for evaluation, there are three subcases... & CIS 500, 6 October 15-c % ' Theorem: If Proving Preservation t : T and t t , then t : T. $ Proof: By induction on typing derivations. [Which case is the hard one?] Case T-App: Given t = t 1 t2 t1 : T11 T12 t2 : T11 T = T12 Show t : T12 By the inversion lemma for evaluation, there are three subcases... Subcase: t1 = x:T11 . t12 t2 a value v2 t = [x v2 ]t12 & CIS 500, 6 October 15-d % ' Theorem: If Proving Preservation t : T and t t , then t : T. $ Proof: By induction on typing derivations. [Which case is the hard one?] Case T-App: Given t = t 1 t2 t1 : T11 T12 t2 : T11 T = T12 Show t : T12 By the inversion lemma for evaluation, there are three subcases... Subcase: t1 = x:T11 . t12 t2 a value v2 t = [x v2 ]t12 & Uh oh. CIS 500, 6 October 15-e % ' The Substitution Lemma t : T and s : S, then [x s]t : T. $ Lemma: Types are preserved under substitition. If , x:S & CIS 500, 6 October 16 % ' The Substitution Lemma t : T and s : S, then [x s]t : T. $ Lemma: Types are preserved under substitition. If , x:S Proof: ... & CIS 500, 6 October 16-a % ' $ On to real programming languages... & CIS 500, 6 October 17 % ' t ::= ... unit v ::= ... unit T ::= ... Unit The Unit type terms constant unit values constant unit types unit type $ New typing rules unit : Unit t:T (T-Unit) & CIS 500, 6 October 18 % ' t ::= ... t1 ;t2 Sequencing terms $ & CIS 500, 6 October 19 % ' t ::= ... t1 ;t2 Sequencing terms $ t1 t1 t1 ;t2 t1 ;t2 unit;t2 t2 t1 : Unit t 2 : T2 (E-Seq) (E-SeqNext) (T-Seq) t1 ;t2 : T2 & CIS 500, 6 October 19-a % ' Syntatic sugar Derived forms $ Internal language vs. external (surface) language & CIS 500, 6 October 20 % ' Sequencing as a derived form t1 ;t2 def $ = (x:Unit.t 2 ) t1 where x FV(t2 ) / & CIS 500, 6 October 21 % ' [board] Equivalence of the two denitions $ & CIS 500, 6 October 22 % ' New syntactic forms t ::= ... t as T Ascription terms ascription t t v1 as T v1 t1 t1 t1 as T t1 as T (E-Ascribe) (E-Ascribe1) t1 : T t1 as T : T t:T $ New evaluation rules New typing rules (T-Ascribe) & CIS 500, 6 October 23 % ' Ascription as a derived form t as T = (x:T. x) t def $ & CIS 500, 6 October 24 % ' New syntactic forms t ::= ... let x=t in t New evaluation rules Let-bindings terms let binding t t let x=v1 in t2 [x v1 ]t2 t1 t1 let x=t1 in t2 let x=t1 in t2 (E-LetV) $ (E-Let) t:T (T-Let) New typing rules t 1 : T1 , x:T1 t2 : T2 & let x=t1 in t2 : T2 CIS 500, 6 October 25 % ' t ::= ... {t,t} t.1 t.2 v ::= ... {v,v} T ::= ... T1 T2 Pairs terms pair rst projection second projection values pair value types product type $ & CIS 500, 6 October 26 % ' Evaluation rules for pairs {v1 ,v2 }.1 v1 {v1 ,v2 }.2 v2 t1 t1 t1 .1 t1 .1 t1 t1 t1 .2 t1 .2 t1 t1 {t1 ,t2 } {t1 ,t2 } t2 t2 {v1 ,t2 } {v1 ,t2 } (E-Pair2) (E-Pair1) (E-Proj2) (E-PairBeta1) (E-PairBeta2) (E-Proj1) $ & CIS 500, 6 October 27 % ' Typing rules for pai...

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Sheet1 STATE COLLEGE, PENNSYLVANIA DAILY WEATHER SUMMARY - Latest Complete Day [Midnight - Midnight LT] -07/24/41High Temperature Low Temperature Mean Temperature Rain or Liquid Equivalent Snow and/or Ice Pellets Snow Depth: ::87 Rank (1=Warm
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Sheet1 STATE COLLEGE, PENNSYLVANIA DAILY WEATHER SUMMARY - Latest Complete Day [Midnight - Midnight LT] -07/04/32High Temperature Low Temperature Mean Temperature Rain or Liquid Equivalent Snow and/or Ice Pellets Snow Depth79 Rank (1=Warmest, 37=
Penn State - BUB - 1934
Sheet1 STATE COLLEGE, PENNSYLVANIA DAILY WEATHER SUMMARY - Latest Complete Day [Midnight - Midnight LT] -07/27/34High Temperature Low Temperature Mean Temperature Rain or Liquid Equivalent Snow and/or Ice Pellets Snow Depth90 Rank (1=Warmest, 39=
Penn State - BUB - 1933
Sheet1 STATE COLLEGE, PENNSYLVANIA DAILY WEATHER SUMMARY - Latest Complete Day [Midnight - Midnight LT] -07/13/33High Temperature Low Temperature Mean Temperature Rain or Liquid Equivalent Snow and/or Ice Pellets Snow Depth78 Rank (1=Warmest, 38=
Penn State - BUB - 1941
Sheet1 STATE COLLEGE, PENNSYLVANIA DAILY WEATHER SUMMARY - Latest Complete Day [Midnight - Midnight LT] -07/01/41High Temperature Low Temperature Mean Temperature Rain or Liquid Equivalent Snow and/or Ice Pellets Snow Depth: ::90 Rank (1=Warm
Nevada - B - 111
STRATIGRAPHY AND HOST ROCK CONTROLS OF GOLD DEPOSITS OF THE NORTHERN CARLIN TRENDJohn Jory1ABSTRACTPre-mine gold resources totaling 100 million troy ounces (3,110 t [metric tons]) in 42 deposits in the northern Carlin trend account for the most p
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Fourier Transform (Chapter 4)CS474/674 Fall 2008 Prof. BebisMathematical Background: Complex Numbers A complex number x has the form:a: real part, b: imaginary part Addition MultiplicationMathematical Background: Complex Numbers (cont'd)
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Hough Transform (Section 10.2)CS474/674 Fall 2008 Prof. BebisEdge Linking and Boundary Detection Edge detection does not yield connected boundaries. Edge linking and boundary following must be applied after edge detection.gradient magnitude th
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Identification System ErrorsGuide to Biometrics Chapter 6 Handbook of Fingerprint Recognition - 1.4 Presented By: Chris MilesExtending to IdentificationHow do we extend our numerical models for verification errors for identificatation? FNMR
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Variations of Linked Lists: Circular Linked Lists and Doubly Linked ListsCS 302 Data Structures Sections 6.2, 6.3 and 6.4Circular Linked Lists Extending a linear linked list to a circularlinked list Make the last node point back to the first
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Design with Reuse Building software from reusable components.Computer ScienceCS425/CS6258/23/20011Objectives To explain the benefits of software reuse and some reuse problems To describe different types of reusable component and process
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China Monetary PolicyLea VassalloPeoples Bank of China (PBC) Foundedin 1948 in the Hebei province Headquarter is now in Beijing Dual Role before 1983 Central Bank Commercial BankPBC Dual FunctionAs a Central BankRegulates the mo
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Lea VassalloEcon 461 Chinese EconomyProject: Chinese Monetary PolicyDr. Elliott ParkerHistory/Structure/Functions The People's Bank of China was founded in 1948 in the Hebei province. The center of operations is now headquartered in Beijing.