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incorporates both the operation and the security checks trivial In other cases, the placement of security checks can be dif cult because the ideal location for a given security check might not be evident The pairing of security checks and functions could be a tight one-to-one coupling, in which case a function can simply be replaced with an alternative, or it might be most effective to implement a one-to-many pairing in which one base function is wrapped multiple times to more precisely couple appropriate security checks with common use cases Input functions aren t all you should include Validation points where dangerous operations are performed should take context into account to perform checks on the content of the data that ensure that the operation to be performed will be secure For example, in the case of buffer overflow, these checks should include validation that ensures that strings are properly terminated and are free from format string metacharacters (where appropriate) Depending on your buffer allocation strategy, checks performed at this level also need to limit the size of the data operated on and potentially tie into code to resize existing buffers Validation wrappers should make it immediately obvious (to both a human and a tool) that the potentially dangerous operation is guaranteed to be safe without any dependency on code outside the immediate context Here, in particular, it is critical that safety checks be written concisely and coherently so that they can be easily verified Example 520 gives an implementation for the function strlcpy() It is both an implementation of a common C string operation (copying a string) and a replacement for two more problematic functions: strcpy() (which performs no buffer size checks) and strncpy() (which does not guarantee that the destination buffer will be null-terminated) The strlcpy()function first appeared in OpenBSD and is making its way into other platforms Refer to 6, Buffer Overflow, for a discussion of other functions designed to prevent buffer overflow vulnerabilities.

Escapes the string data, but performs additional processing that allows the result value to be used as an XML attribute valueThe return value can be printed directly as an attribute value for example, print "<element attr=%s>" % quoteattr(somevalue) entities is a dictionary compatible for use with the escape() function

% Array of parent elements for rst page % Parent of marked-content sequence 0 % Parent of marked-content sequence 1

XMLGenerator([out [, encoding]])

A ContentHandler object that merely echoes parsed XML data back to the output stream as an XML documentThis re-creates the original XML document out is the output document and defaults to sysstdout encoding is the character encoding to use and defaults to 'iso-8859-1'This can be useful if you re trying to debug your parsing code and use a handler that is known to work

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% Array of parent elements for second page % Parent of marked-content sequence 0 % Parent of marked-content sequence 1 % Parent of marked-content sequence 2

Example 520 Code that implements the same functionality as strncpy() but adds the property that the destination string will always be null-terminated This wrapper function is available off the shelf on OpenBSD and some other platforms under the name strlcpy()

he modules listed in this section are not covered in detail in this book but are still considered to be part of the standard libraryThese modules have mostly been omitted from previous chapters because they are either extremely low-level and of limited use, restricted to very specific platforms, obsolete, or so complicated that coverage would require a complete book on the topic Although these modules are have been omitted from this book, online documentation is available for each module at http:// docspythonorg/library/modname An index of all modules is also available at http://docspythonorg/library/modindexhtml The modules listed here represent a common subset of functionality between Python 2 and Python 3 If you are using a module that is not listed here, chances are it has been officially deprecated Some modules have changed names in Python 3The new name is shown in parentheses, if applicable

The following modules provide additional services related to the Python language and execution of the Python interpreter Many of these modules are related to parsing and compilation of Python source code

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% ID tree root node % Reference to leaf node % ID tree leaf node % Least and greatest keys in tree % Mapping from element identi ers % to structure elements

size_t strlcpy(char *dst, const char *src, size_t siz) { char *d = dst; const char *s = src; size_t n = siz; /* Copy as many bytes as will fit */ if (n != 0 && --n != 0) { do { if ((*d++ = *s++) == '\0') break; } while (--n != 0); } /* Not enough room in dst, add NULL and traverse rest of src */ if (n == 0) { if (siz != 0) *d = '\0'; /* NULL-terminate dst */ while (*s++); } return(s - src - 1); } /* count does not include NUL */

Access to the debugger framework Interpreter base classes Compiles Python code Byte-compiles Python files in a directory Register built-in types for use with the pickle module Disassembler Distribution of Python modules Floating-point exception control Provides access to the implementation of the import statement Tests whether a string is a Python keyword Retrieves lines from source files Finds modules used by a script

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Tagged PDF (PDF 14) is a stylized use of PDF that builds on the logical structure framework described in Section 96, Logical Structure, by de ning a set of standard structure types and attributes that allow page content (text, graphics, and images) to be extracted and reused for other purposes In addition, it de nes a set of rules for representing text in the page content so that characters, words, and

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