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the work that relates to COM specificall (argument conversions between the Win32 VARIANT data-type and native Python data-types for example). The class BlackScholes COM component exposes one function, OptionPrice, which is a wrapper around the ppf.core.black scholes function. The intention of publishing the OptionPrice function in the BlackScholes interface is expressed by adding the name of the function to the class static data member public methods . Although not shown here, additional functions that the class may have, unless added to this list, will not form part of the COM interface offered by the class. In COM, class IDs(CLSID) are 128-bit globally unique identifier (GUID) associated with COM objects. The reg clsid class data member assigns to our class BlackScholes the value 14B40B3E-DC9A-4E07-A512-F65DA07BDC09 . These CLSIDs should never be copied. Instead they can and should be generated for each new COM component developed in the following way:

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45 M S Grewal and A P Andrews, Application of Kalman Filtering to GPS, INS, & Navigation, Short Course Notes, Kalman Filtering Consulting Associates, Anaheim, CA, June 2000 46 M S Grewal and A P Andrews, Kalman Filtering: Theory and Practice, 2nd ed, Wiley, New York, 2000 47 M S Grewal, W Brown, S Evans, P Hsu, and R Lucy, ``Ionospheric Delay Validation Using Dual Frequency Signal from GPS at GEO Uplink Subsystem (GUS) Locations,'' Proceedings of ION GPS '99, Satellite Division of the Institute of Navigation Twelfth International Technical Meeting, Session C4, Atmospheric Effects, (Nashville, TN) September 14 17, ION, Alexandria, VA, 1999 48 M S Grewal, W Brown, and R Lucy, ``Test Results of Geostationary Satellite (GEO) Uplink Sub-System (GUS) Using GEO Navigation Payloads,'' Monographs of the Global Positioning System: Papers Published in Navigation (``Redbook''), Vol VI, Institute of Navigation, pp 339 348, ION, Alexandria, VA, 1999.

These types are recognisable with high degrees of reliability. There also may exist a Type 5 (negative) discourse on which further research is necessary. However, for the purposes of this chapter it is suf cient to focus on the above types, and examine their strategic nature by looking at the circumstances in which they occur. Once again, only a partial coverage of the data is given; a full account being available in the reference cited above. The rst thing to note about the discourses is that they are sensitive to the difference between clinical and non-clinical contexts. Drug users in agency contact are more likely to use Type 3 and Type 4 discourse; those not in agency contact are more likely to use Type 1 discourse, or to describe any problems they have in terms of Type 2. Data were collected on three occasions, and the same pattern emerged each time as can be seen in Table 4.1.1. Table 4.1.1 shows a natural, but probably undesirable, tendency of drug users to talk the addict script when in agency contact. It demonstrates that in the real world the results of the Davies and Baker (1987) study are reproduced (albeit within a between-subjects

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49 M S Grewal, W Brown, P Hsu, and R Lucy, ``GEO Uplink Subsystem (GUS) Clock Steering Algorithms Performance, Validation and Test Results,'' in Proceedings of ThirtyFirst Annual Precise Time and Time Interval (PTTI) Systems and Applications Meeting, (Dana Point, CA), December 7 9, 1999 Time Services Dept, US Naval Observatory, Washington, DC 50 M S Grewal, N Pandya, J Wu, and E Carolipio, ``Dependence of User Differential Ranging Error (UDRE) on Augmentation Systems Ground Station Geometries,'' in Proceedings of the Institute of Navigation's (ION) 2000 National Technical Meeting, (Anaheim, CA) January 26 28, 2000, pp 80 91, ION Alexandria, VA, 2000 51 L Hagerman, ``Effects of Multipath on Coherent and Noncoherent PRN Ranging Receiver,'' Aerospace Report No TOR-0073(3020-03)-3, Aerospace Corporation, Development Planning Division, El Segundo, CA, May 15, 1973 52 B Hassibi, A H Sayed, and T.

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