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int main() { // error: ambiguous: one of // Bear::print( ostream&) const // Endangered::print( ostream&) const Panda yin_yang; yin_yangprint( cout ); }

A program-level solution to the member ambiguity is to qualify explicitly the instance we wish to invoke using the class scope operator For example:

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (894 / 1065) [2001-3-29 11:32:14]

Panda yin_yang; yin_yangBear::print( cout ); }

While this solves the problem, in general it is not a satisfactory solution The reason is that the user has now been placed in the position of having to decide what the right behavior is for the Panda class This burden of responsibility should never be placed on the user of a class Rather, the class designer has to attend to these details The preferred solution is for the Panda class itself to resolve any ambiguities intrinsic to its inheritance hierarchy The simplest way to do this is to define a named instance within the derived class that provides the desired behavior For example:

inline void Panda::highlight() { Endangered::highlight(); } inline ostream& Panda::print( ostream &os ) const { Bear::print( os ); Endangered::print( os ); return os; }

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Because successfully compiling the declaration of a multiply derived class does not guarantee that there are no latent ambiguities, we strongly recommend that each of its methods, however trivial, be exercised during unit testing of the class

The easiest way to help show how pivot point analysis works is with a few examples First is a 60-minute candle chart showing S&P 500 index futures for August 20 21, 2002, shown as Figure 63 Using the pivot point formula, you can calculate the target numbers for August 21 from the trading session data on August 20 The candles inside the box show the trading range and price swings from that day when the high was 9495, the low was 93150, and the close was 9398 Calculating the numbers gives you a pivot point of 940, producing targets of 958 for R2, 949 for R1, 922 for S2, and 931 for S1.

Given the following class hierarchy, with the following collection of data members,

class Base1 { public: // protected: int double char // private: int // }; class Base2 { public: // protected: float // private: double //

Methodologies and Techniques ARP 4761 Functional Hazard Assessment (FHA) Preliminary System Safety Analysis (PSSA) System Safety Analysis (SSA) Fault Tree Analysis (FTA) Dependency Diagrams Markov Analysis (MA) Failure Modes and Effects Analysis (FMEA) Failures Modes and Effects Summary (FMES) Zonal Safety Analysis (ZSA) Particular Risks Analysis (PRA) Common Mode Analysis (CMA) Contiguous safety assessment process example

ival; dval; cval;

*id;

fval;

dval;

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (895 / 1065) [2001-3-29 11:32:14]

}; class Derived : public Base1 { public: // protected: string sval; double dval; // }; class MI : public Derived, public Base2 { public: // protected: int *ival; complex<double> cval; // };

and the following MI::foo() member function skeleton,

int ival; double dval; void MI:: foo( double dval ) { int id; // }

a Identify the set of members visible from within MI Are there any visible from multiple base classes b Identify the set of members visible from within MI::foo()

If you did your homework or downloaded the analysis from the National Futures research advisory web site after the close on August 20, then you would know what I call the key target numbers: R1 of 949 and S1 of 931 Examining the chart, a nice trade sell setup evolved after the secondary failure of 949 Even if you didn t sell short, I believe you would not have gone long at that level either The better setup, however, came as a buy signal from the positive reactionary bounce off the 931 key support (S1) number as a bullish harami formed A nice day-trade could have been made with a stop placed under the established low of 931.

Using the class hierarchy defined in Exercise 189, identify which of the assignments, if any, are in error within the MI::bar() member function:

void MI:: bar() { int sval; // exercise questions occur here } (a) dval = 314159; (d) fval = 0; (b) cval = 'a'; (e) sval = *ival; (c) id = 1;

DO-178B Overview Design Assurance for Airborne Software [1 December 1992] Introduction System Aspects relating to Software Development Software Life Cycle Software Planning Process Software Development Process Software Veri cation Process Software Con guration Management Process Software Quality Assurance Process Certi cation Liaison Process Overview of Aircraft and Engine Certi cation Software Life Cycle Data Additional Considerations

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