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One of the earliest projects to bridge a non-Objective-C language with the Cocoa frameworks is PyObjC, which lets you do a significant amount of Cocoa development in Python. As you re well aware by this point, Objective-C s syntax, in particular the intermixing of method names and arguments, is somewhat unusual, and most other languages don t have any equivalent. What PyObjC does is provide mappings for all methods in all Objective-C classes included in Cocoa, so that you can call them from Python. The mappings are determined by a pretty simple formula: the entire Objective-C method name is pushed into a single symbol, with each colon in the method name replaced by an underscore character. All the method arguments are sent between parentheses, just like a standard C function. All objects are automatically bridged, so that you can use all the standard Cocoa classes right from Python. For example, let s look at a line of code we showed earlier, when talking about notifications. Here s the Objective-C version:

// DECLARE VARIABLES AND CREATE OBJECTS var speed:Number;

[[NSNotificationCenter defaultCenter] postNotificationName:DATA_RECEIVED object:self];

// RUN IMMEDIATELY initializeGame();

The Python version, using PyObjC, looks something like this:

// DEFINE FUNCTIONS function initializeGame():Void { }

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with the 60% compound rate of frequency growth observed for general-purpose microprocessors This divergence in device frequency has led many computer system designers and researchers to search for new techniques that will surmount what is known as the memory wall [Wulf and McKee, 1995] The other main contributor to DRAM product cost packaging, as driven by per-chip pin count has also remained relatively stable over the years, resulting in a dearth of dramatic improvements in bandwidth per chip The improvements that have been made for bandwidth have been largely in the realm of enhanced signaling technology, synchronous interfaces [synchronous DRAM (SDRAM)], higher interface frequencies (eg, PC 100 which runs at 100 MHz, while PC133 runs at 133 MHz), and aggressive use of both rising and falling clock edges to transmit twice the amount of data per clock period [known as double-data rate (DDR)] Figure 38 shows the internal organization of a typical DRAM chip At its heart, there is an array of binary storage elements organized in rows and columns The storage elements are tiny capacitors, which store a charge to represent a 1, or store no charge to represent a 0 Each capacitor-based cell is connected by a transistor to a vertical bit line that stretches from the top of the array to the bottom The transistor is controlled by a horizontal word line which selects a particular row in the array for either reading or writing The bit line is used to read the state of the cell: a charged capacitor will drive the bit line to a higher voltage; this higher voltage will be sensed by a high-gain amplifier at one end of the bit line that converts the signal to a standard logic level 1, while a discharged capacitor will drain

center = NSNotificationCenter.defaultCenter() center.postNotificationName_object_(DATA_RECEIVED, self);

function initializeGame():Void { speed = 0; }

This function will enable all the buttons and animation for this game, and you ll define it in the next step

As you can see, the lack of intermixed method-name-parts and arguments really impacts the readability. Also, on the whole it s rather un-Pythonic, so, while it works well for what it does, there are things for all sides to be somewhat unhappy about. PyObjC is included in both Leopard and Snow Leopard, and Xcode even has templates for making application projects using this right out of the box.

function initializeGame():Void { speed = 0; enableAll(true, true); }

each generation of DRAM chips in order to guarantee compatibility and consistent performance Conceptually, the function and organization of DRAM chips is quite straightforward, since they are designed to store as many bits as possible in a s ' compact an area as possible, while minimizing area and product cost and maximizing bandwidth While all these factors are considered in DRAM design, historically the primary design constraints have been capacity and cost DRAM manufacturing is an extremely competitive business, where even minor increases in product cost, potentially caused by complex designs that reduce process yields, can drive a vendor out of business Hence, DRAM vendors are typically "very conservative about adopting dramatically new or different approaches for building DRAM chips As semiconductor process geometries have shrunk, DRAM capacity per chip has increased at a rate more or less directly proportional to Moore's law, which predicts a doubling of devices per chip every two years or so This has,resulted in exponential growth in the capacity of DRAM chips with a fixed die size, which in turn has tended to hold product cost roughly constant Despite the fact that device switching times improve with reduced process geometries, DRAM chip latency has not improved dramatically This is due to the fact that DRAM access latency is dominated by wire delay, and not device switching times Since wire delay has not improved nearly as dramatically as device switching delay, and the overall dimension of the memory array has remained largely fixed (to accommodate increased capacity), the end-to-end latency to retrieve a word from a DRAM chip has only improved at a compound rate of about 10% per year This provides a stark contrast

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