
- •Thinking in C++ 2nd edition Volume 2: Standard Libraries & Advanced Topics
- •Preface
- •What’s new in the second edition
- •What’s in Volume 2 of this book
- •How to get Volume 2
- •Prerequisites
- •Learning C++
- •Goals
- •Chapters
- •Exercises
- •Exercise solutions
- •Source code
- •Language standards
- •Language support
- •The book’s CD ROM
- •Seminars, CD Roms & consulting
- •Errors
- •Acknowledgements
- •Library overview
- •1: Strings
- •What’s in a string
- •Creating and initializing C++ strings
- •Initialization limitations
- •Operating on strings
- •Appending, inserting and concatenating strings
- •Replacing string characters
- •Concatenation using non-member overloaded operators
- •Searching in strings
- •Finding in reverse
- •Finding first/last of a set
- •Removing characters from strings
- •Stripping HTML tags
- •Comparing strings
- •Using iterators
- •Iterating in reverse
- •Strings and character traits
- •A string application
- •Summary
- •Exercises
- •2: Iostreams
- •Why iostreams?
- •True wrapping
- •Iostreams to the rescue
- •Sneak preview of operator overloading
- •Inserters and extractors
- •Manipulators
- •Common usage
- •Line-oriented input
- •Overloaded versions of get( )
- •Reading raw bytes
- •Error handling
- •File iostreams
- •Open modes
- •Iostream buffering
- •Seeking in iostreams
- •Creating read/write files
- •User-allocated storage
- •Output strstreams
- •Automatic storage allocation
- •Proving movement
- •A better way
- •Output stream formatting
- •Internal formatting data
- •Format fields
- •Width, fill and precision
- •An exhaustive example
- •Formatting manipulators
- •Manipulators with arguments
- •Creating manipulators
- •Effectors
- •Iostream examples
- •Code generation
- •Maintaining class library source
- •Detecting compiler errors
- •A simple datalogger
- •Generating test data
- •Verifying & viewing the data
- •Counting editor
- •Breaking up big files
- •Summary
- •Exercises
- •3: Templates in depth
- •Nontype template arguments
- •Typedefing a typename
- •Using typename instead of class
- •Function templates
- •A string conversion system
- •A memory allocation system
- •Type induction in function templates
- •Taking the address of a generated function template
- •Local classes in templates
- •Applying a function to an STL sequence
- •Template-templates
- •Member function templates
- •Why virtual member template functions are disallowed
- •Nested template classes
- •Template specializations
- •A practical example
- •Pointer specialization
- •Partial ordering of function templates
- •Design & efficiency
- •Preventing template bloat
- •Explicit instantiation
- •Explicit specification of template functions
- •Controlling template instantiation
- •Template programming idioms
- •Summary
- •Containers and iterators
- •STL reference documentation
- •The Standard Template Library
- •The basic concepts
- •Containers of strings
- •Inheriting from STL containers
- •A plethora of iterators
- •Iterators in reversible containers
- •Iterator categories
- •Input: read-only, one pass
- •Output: write-only, one pass
- •Forward: multiple read/write
- •Bidirectional: operator--
- •Random-access: like a pointer
- •Is this really important?
- •Predefined iterators
- •IO stream iterators
- •Manipulating raw storage
- •Basic sequences: vector, list & deque
- •Basic sequence operations
- •vector
- •Cost of overflowing allocated storage
- •Inserting and erasing elements
- •deque
- •Converting between sequences
- •Cost of overflowing allocated storage
- •Checked random-access
- •list
- •Special list operations
- •list vs. set
- •Swapping all basic sequences
- •Robustness of lists
- •Performance comparison
- •A completely reusable tokenizer
- •stack
- •queue
- •Priority queues
- •Holding bits
- •bitset<n>
- •vector<bool>
- •Associative containers
- •Generators and fillers for associative containers
- •The magic of maps
- •A command-line argument tool
- •Multimaps and duplicate keys
- •Multisets
- •Combining STL containers
- •Creating your own containers
- •Summary
- •Exercises
- •5: STL Algorithms
- •Function objects
- •Classification of function objects
- •Automatic creation of function objects
- •Binders
- •Function pointer adapters
- •SGI extensions
- •A catalog of STL algorithms
- •Support tools for example creation
- •Filling & generating
- •Example
- •Counting
- •Example
- •Manipulating sequences
- •Example
- •Searching & replacing
- •Example
- •Comparing ranges
- •Example
- •Removing elements
- •Example
- •Sorting and operations on sorted ranges
- •Sorting
- •Example
- •Locating elements in sorted ranges
- •Example
- •Merging sorted ranges
- •Example
- •Set operations on sorted ranges
- •Example
- •Heap operations
- •Applying an operation to each element in a range
- •Examples
- •Numeric algorithms
- •Example
- •General utilities
- •Creating your own STL-style algorithms
- •Summary
- •Exercises
- •Perspective
- •Duplicate subobjects
- •Ambiguous upcasting
- •virtual base classes
- •The "most derived" class and virtual base initialization
- •"Tying off" virtual bases with a default constructor
- •Overhead
- •Upcasting
- •Persistence
- •MI-based persistence
- •Improved persistence
- •Avoiding MI
- •Mixin types
- •Repairing an interface
- •Summary
- •Exercises
- •7: Exception handling
- •Error handling in C
- •Throwing an exception
- •Catching an exception
- •The try block
- •Exception handlers
- •Termination vs. resumption
- •The exception specification
- •Better exception specifications?
- •Catching any exception
- •Rethrowing an exception
- •Uncaught exceptions
- •Function-level try blocks
- •Cleaning up
- •Constructors
- •Making everything an object
- •Exception matching
- •Standard exceptions
- •Programming with exceptions
- •When to avoid exceptions
- •Not for asynchronous events
- •Not for ordinary error conditions
- •Not for flow-of-control
- •You’re not forced to use exceptions
- •New exceptions, old code
- •Typical uses of exceptions
- •Always use exception specifications
- •Start with standard exceptions
- •Nest your own exceptions
- •Use exception hierarchies
- •Multiple inheritance
- •Catch by reference, not by value
- •Throw exceptions in constructors
- •Don’t cause exceptions in destructors
- •Avoid naked pointers
- •Overhead
- •Summary
- •Exercises
- •8: Run-time type identification
- •The “Shape” example
- •What is RTTI?
- •Two syntaxes for RTTI
- •Syntax specifics
- •Producing the proper type name
- •Nonpolymorphic types
- •Casting to intermediate levels
- •void pointers
- •Using RTTI with templates
- •References
- •Exceptions
- •Multiple inheritance
- •Sensible uses for RTTI
- •Revisiting the trash recycler
- •Mechanism & overhead of RTTI
- •Creating your own RTTI
- •Explicit cast syntax
- •Summary
- •Exercises
- •9: Building stable systems
- •Shared objects & reference counting
- •Reference-counted class hierarchies
- •Finding memory leaks
- •An extended canonical form
- •Exercises
- •10: Design patterns
- •The pattern concept
- •The singleton
- •Variations on singleton
- •Classifying patterns
- •Features, idioms, patterns
- •Basic complexity hiding
- •Factories: encapsulating object creation
- •Polymorphic factories
- •Abstract factories
- •Virtual constructors
- •Destructor operation
- •Callbacks
- •Observer
- •The “interface” idiom
- •The “inner class” idiom
- •The observer example
- •Multiple dispatching
- •Visitor, a type of multiple dispatching
- •Efficiency
- •Flyweight
- •The composite
- •Evolving a design: the trash recycler
- •Improving the design
- •“Make more objects”
- •A pattern for prototyping creation
- •Trash subclasses
- •Parsing Trash from an external file
- •Recycling with prototyping
- •Abstracting usage
- •Applying double dispatching
- •Implementing the double dispatch
- •Applying the visitor pattern
- •More coupling?
- •RTTI considered harmful?
- •Summary
- •Exercises
- •11: Tools & topics
- •The code extractor
- •Debugging
- •Trace macros
- •Trace file
- •Abstract base class for debugging
- •Tracking new/delete & malloc/free
- •CGI programming in C++
- •Encoding data for CGI
- •The CGI parser
- •Testing the CGI parser
- •Using POST
- •Handling mailing lists
- •Maintaining your list
- •Mailing to your list
- •A general information-extraction CGI program
- •Parsing the data files
- •Summary
- •Exercises
- •General C++
- •My own list of books
- •Depth & dark corners
- •Design Patterns
- •Index

Note that the only difference between s1 and s2 is the capital ‘T’ in s2’s “Test.” Comparing s1 and s1 for equality yields true, as expected, while s1 and s2 are not equal because of the capital ‘T’.
To understand the output of the lexicographical_compare( ) tests, you must remember two things: first, the comparison is performed character-by-character, and second that capital letters “precede” lowercase letters. In the first test, s1 is compared to s1. These are exactly equivalent, thus one is not lexicographically less than the other (which is what the comparison is looking for) and thus the result is false. The second test is asking “does s1 precede s2?” When the comparison gets to the ‘t’ in “test”, it discovers that the lowercase ‘t’ in s1 is “greater” than the uppercase ‘T’ in s2, so the answer is again false. However, if we test to see whether s2 precedes s1, the answer is true.
To further examine lexicographical comparison, the next test in the above example compares s1 with s2 again (which returned false before). But this time it repeats the comparison, trimming one character off the end of s1 (which is first copied into s3) each time through the loop until the test evaluates to true. What you’ll see is that, as soon as the uppercase ‘T’ is trimmed off of s3 (the copy of s1), then the characters, which are exactly equal up to that point, no longer count and the fact that s3 is shorter than s2 is what makes it lexicographically precede s2.
The final test uses mismatch( ). In order to capture the return value, you must first create the appropriate pair p, constructing the template using the iterator type from the first range and the iterator type from the second range (in this case, both string::iterators). To print the results, the iterator for the mismatch in the first range is p.first, and for the second range is p.second. In both cases, the range is printed from the mismatch iterator to the end of the range so you can see exactly where the iterator points.
Removing elements
Because of the genericity of the STL, the concept of removal is a bit constrained. Since elements can only be “removed” via iterators, and iterators can point to arrays, vectors, lists, etc., it is not safe or reasonable to actually try to destroy the elements that are being removed, and to change the size of the input range [first, last) (an array, for example, cannot have its size changed). So instead, what the STL “remove” functions do is rearrange the sequence so that the “removed” elements are at the end of the sequence, and the “un-removed” elements are at the beginning of the sequence (in the same order that they were before, minus the removed elements – that is, this is a stable operation). Then the function will return an iterator to the “new last” element of the sequence, which is the end of the sequence without the removed elements and the beginning of the sequence of the removed elements. In other words, if new_last is the iterator that is returned from the “remove” function, then [first, new_last) is the sequence without any of the removed elements, and [new_last, last) is the sequence of removed elements.
If you are simply using your algorithms, you can just use
sequence, including the removed elements, with more STL new_last as the new past-the-end iterator. However, if you’re
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using a resizable container c (not an array) and you actually want to eliminate the removed elements from the container you can use erase( ) to do so, for example:
c.erase(remove(c.begin(), c.end(), value), c.end());
The return value of remove( ) is the new_last iterator, so erase( ) will delete all the removed elements from c.
The iterators in [new_last, last) are dereferenceable but the element values are undefined and should not be used.
ForwardIterator remove(ForwardIterator first, ForwardIterator last, const T& value); ForwardIterator remove_if(ForwardIterator first, ForwardIterator last,
Predicate pred);
OutputIterator remove_copy(InputIterator first, InputIterator last, OutputIterator result, const T& value);
OutputIterator remove_copy_if(InputIterator first, InputIterator last, OutputIterator result, Predicate pred);
Each of the “remove” forms moves through the range [first, last), finding values that match a removal criterion and copying the un-removed elements over the removed elements (thus effectively removing them). The original order of the un-removed elements is maintained. The return value is an iterator pointing past the end of the range that contains none of the removed elements. The values that this iterator points to are unspecified.
The “if” versions pass each element to pred( ) to determine whether it should be removed or not (if pred( ) returns true, the element is removed). The “copy” versions do not modify the original sequence, but instead copy the un-removed values into a range beginning at result, and return an iterator indicating the past-the-end value of this new range.
ForwardIterator unique(ForwardIterator first, ForwardIterator last); ForwardIterator unique(ForwardIterator first, ForwardIterator last,
BinaryPredicate binary_pred);
OutputIterator unique_copy(InputIterator first, InputIterator last, OutputIterator result);
OutputIterator unique_copy(InputIterator first, InputIterator last, OutputIterator result, BinaryPredicate binary_pred);
Each of the “unique” functions moves through the range [first, last), finding adjacent values that are equivalent (that is, duplicates) and “removing” the duplicate elements by copying over them. The original order of the un-removed elements is maintained. The return value is an iterator pointing past the end of the range that has the adjacent duplicates removed.
Because only duplicates that are adjacent are removed, it’s likely that you’ll want to call sort( ) before calling a “unique” algorithm, since that will guarantee that all the duplicates are removed.
The versions containing binary_pred call, for each iterator value i in the input range:
binary_pred(*i, *(i-1));
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and if the result is true then *(i-1) is considered a duplicate.
The “copy” versions do not modify the original sequence, but instead copy the un-removed values into a range beginning at result, and return an iterator indicating the past-the-end value of this new range.
Example
This example gives a visual demonstration of the way the “remove” and “unique” functions work.
//: C05:Removing.cpp
// The removing algorithms #include "PrintSequence.h" #include "Generators.h"
#include <vector> #include <algorithm> #include <cctype> using namespace std;
struct IsUpper {
bool operator()(char c) { return isupper(c);
}
};
int main() { vector<char> v(50);
generate(v.begin(), v.end(), CharGen()); print(v, "v", "");
//Create a set of the characters in v: set<char> cs(v.begin(), v.end()); set<char>::iterator it = cs.begin(); vector<char>::iterator cit;
//Step through and remove everything: while(it != cs.end()) {
cit = remove(v.begin(), v.end(), *it); cout << *it << "[" << *cit << "] "; print(v, "", "");
it++;
}
generate(v.begin(), v.end(), CharGen()); print(v, "v", "");
cit = remove_if(v.begin(), v.end(), IsUpper());
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