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Pickles offer the simplest approach to saving and loading data from Python programs, but as we noted in the preceding chapter, pickles have no security mechanisms (no encryption, no digital signature), so loading a pickle that comes from an untrusted source could be dangerous The security concern arises because pickles can import arbitrary modules and call arbitrary functions, so we could be given a pickle where the data has been manipulated in such a way as to, for example, make the interpreter execute something harmful when the pickle is loaded Nonetheless, pickles are often ideal for handling ad hoc data, especially for programs for personal use It is usually easier when creating le formats to write the saving code before the loading code, so we will begin by seeing how to save the incidents into a pickle

def export_pickle(self, filename, compress=False): fh = None try: if compress: fh = gzipopen(filename, "wb") else: fh = open(filename, "wb")

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Python provides two data types for handling raw bytes: bytes which is immutable, and bytearray which is mutable Both types hold a sequence of zero or more 8-bit unsigned integers (bytes) with each byte in the range 0 255 Both types are very similar to strings and provide many of the same methods, including support for slicing In addition, bytearrays also provide some mutating list-like methods All their methods are listed in Tables 71 ( 299) and 72 ( 300) Whereas a slice of a bytes or bytearray returns an object of the same type, accessing a single byte using the item access operator ([]) returns an int the value of the speci ed byte For example:

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Flowing Transactions Across Operations When working with distributed systems, transactions sometimes must span service boundaries For instance, if one service managed customer information and another service managed orders, and a user wanted to place an order and ship the product to a new address, the system would need to invoke operations on each service If the transaction completed, the user would expect that both systems were properly updated If infrastructure supports an atomic transactional protocol, the services can be composed into an aggregate transaction as just described WS-AT (Web Service Atomic Transactions) provides the infrastructure for sharing information among participating services to implement the two-phase commit semantics necessary for ACID transactions In WCF, owing transactional information across service boundaries is referred to as transaction ow To ow transactional semantics across service boundaries, the following ve steps must be taken:

word = b"Animal" x = b"A" word[0] == x # returns: False word[:1] == x # returns: True word[0] == x[0] # returns: True

str translate()

[ Team LiB ]

77

Service contracts must require sessions because this is how information will be shared between the coordinator (typically the client) and the participating services

# word[0] == 65; x == b"A" # word[:1] == b"A"; x == b"A" # word[0] == 65; x[0] == 65

Here are some other bytes and bytearray examples:

[ Team LiB ]

data = b"5 Hills \x35\x20\x48\x69\x6C\x6C\x73" dataupper() # returns: b'5 HILLS 5 HILLS' datareplace(b"ill", b"at") # returns: b'5 Hats 5 Hats' bytesfromhex("35 20 48 69 6C 6C 73") # returns: b'5 Hills' bytesfromhex("352048696C6C73") # returns: b'5 Hills' data = bytearray(data) # data is now a bytearray datapop(10) # returns: 72 (ord("H")) datainsert(10, ord("B")) # data == b'5 Hills 5 Bills'

Operation behavior must require a transaction scope This will create a new transaction if one is not already present Operation contracts must allow transaction information to ow in the header of messages The binding must enable transaction ow so that the channel can put transaction information into the SOAP header Also note that the binding must supdoes but port sessions because does not The party that initiates the transaction, typically the client, must use a transaction scope when calling the to service operations It must also call commit the changes

Methods that make sense only for strings, such as bytesupper(), assume that the bytes are encoded using ASCII The bytesfromhex() class method ignores whitespace and interprets each two-digit substring as a hexadecimal number, so "35" is taken to be a byte of value 0x35, and so on

pickledump(self, fh, pickleHIGHEST_PROTOCOL) return True except (EnvironmentError, picklePicklingError) as err: print("{0}: export error: {1}"format( ospathbasename(sysargv[0]), err)) return False finally: if fh is not None: fhclose()

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This appendix contains the application programming interface documentation in Almanac format for the MIDP For a description of this format, refer to "Almanac Legend" on page 356 Full MIDP javadocs with detailed comments are available in the MIDP Specification (see "Related Literature and Helpful Web Pages" on page xxv) or as part of the MIDP reference implementation software that can be downloaded from Sun's web site (http://wwwsuncom/software/communitysource/j2me/midp/) [ Team LiB ]

Proxy1 = new YourBank(); Proxy1Withdraw( savings , 100); Proxy2 - new MyBank(); Proxy2Deposit( savings , 100) commit; [OperationContract] Withdraw(Account, Amt) { commit; }

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