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If compression has been requested, we use the gzip module s gzipopen() function to open the le; otherwise, we use the built-in open() function We must use write binary mode ("wb") when pickling data in binary format In Python 30 and 31, pickleHIGHEST_PROTOCOL is protocol 3, a compact binary pickle format This is the best protocol to use for data shared among Python 3 programs For error handling we have chosen to report errors to the user as soon as they occur, and to return a Boolean to the caller indicating success or failure And we have used a finally block to ensure that the le is closed at the end, whether there was an error or not In 8 we will use a more compact idiom to ensure that les are closed that avoids the need for a finally block This code is very similar to what we saw in the preceding chapter, but there is one subtle point to note The pickled data is self, a dict But the dictionary s values are Incident objects, that is, objects of a custom class The pickle module is smart enough to be able to save objects of most custom classes without us needing to intervene In general, Booleans, numbers, and strings can be pickled, as can instances of classes including custom classes, providing their private __dict__ is picklable In addition, any built-in collection types (tuples, lists, sets, dictionaries) can be pickled, providing they contain only picklable objects (including collection types, so recursive structures are supported) It is also possible to pickle other kinds of objects or instances of custom classes that can t normally be pickled (eg, because they have a nonpicklable attribute), either by giving some help to the pickle module or by implementing custom pickle and unpickle functions All the relevant details are provided in the pickle module s online documentation To read back the pickled data we need to distinguish between a compressed and an uncompressed pickle Any le that is compressed using gzip compression begins with a particular magic number A magic number is a sequence of one or more bytes at the beginning of a le that is used to indicate the le s type For gzip les the magic number is the two bytes 0x1F 0x8B, which we store in a bytes variable:.

T[] a = Expression; L1: L2: Lm: for (int i = 0; i < alength; i++) { VariableModi ersopt Type Identi er = a[i];

GZIP_MAGIC = b"\x1F\x8B"

Establishing a connection to an LDAP server can be slower than a search or an authentication operation by an order of magnitude or more (if only a limited number of results are returned on the search) If possible, try to keep the connection alive and reuse it, rather than disconnecting and reconnecting on every search Even if each search is done with different credentials (that is, it is preceded by an authentication operation), there is generally a substantial gain to avoiding a new connect Besides time spent on the wire and in the server, a connect involves a DNS lookup (unless an IP address was speci ed instead of a host name)

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The Expression must either have type Iterable or else it must be of an array type ( 101), or a compile-time error occurs The scope of a local variable declared in the FormalParameter part of an enhanced for statement ( 1414) is the contained Statement The meaning of the enhanced for statement is given by translation into a basic for statement If the type of Expression is a subtype of Iterable, then let I be the type of the expression Expressioniterator() The enhanced for statement is equivalent to a basic for statement of the form:

__dict__

If you expect to be changing credentials often, or supporting many threads doing operations with unique credentials, you may bene t from creating a pool of connections

Where a and i are compiler-generated identi ers that are distinct from any other identi ers (compiler-generated or otherwise) that are in scope at the point where the enhanced for statement occurs

clear_screen() function Since the function is not de ned inside another func-

int sum(int[] a) { int sum = 0; for (int i : a) sum += i; return sum; }

tion (or inside a class as we will see in the next chapter), it is still a global function, accessible like any other function in the module After creating the function we explicitly set its docstring; this avoids us having to write the same docstring in two places, and also illustrates that a docstring is simply one of the attributes of a function Other attributes include the function s module and its name

If you have a nite and reasonably small number of credentials that are to be used in different operations, you can preallocate a connection object for each identity (DN) and keep a reference to each object in a Hashtable, using the identity as the key When the application needs a connection with a particular identity, the corresponding object can be retrieved from the Hashtable If its isAuthenticated method returns false, the object can be authenticated at that time

Here is an example that combines the enhanced for statement with auto-unboxing to translate a histogram into a frequency table:

def resize(max_rows, max_columns, char=None): """Changes the size of the grid, wiping out the contents and changing the background if the background char is not None """ assert max_rows > 0 and max_columns > 0, "too small" global _grid, _max_rows, _max_columns, _background_char if char is not None: assert len(char) == 1, _CHAR_ASSERT_TEMPLATEformat(char) _background_char = char _max_rows = max_rows _max_columns = max_columns _grid = [[_background_char for column in range(_max_columns)] for row in range(_max_rows)]

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