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Auto, Byte, Numeric, Text pdf417.PDF417DataMode = KeepAutomation.Barcode.PDF417DataMode.Auto .Related: QR Code Printing .NET , Make Code 39 .NET , Creating Code 128 .NET Format strings consist of one or more characters ost characters represent a value of a particular type If we need more than one value of a type we can either write the character as many times as there are values of the type ("hh"), or precede the character with a count as we have done here ("2h") Many format characters are described in the struct module s online documentation, including b (8-bit signed integer), B (8-bit unsigned integer), h (16-bit signed integer used in the examples here), H (16-bit unsigned integer), i (32-bit signed integer), I (32-bit unsigned integer), q (64-bit signed integer), Q (64-bit unsigned integer), f (32-bit oat), d (64-bit oat this corresponds to Python s float type), (Boolean), s (bytes or bytearray object byte strings), and many others For some data types such as multibyte integers, the processor s endianness makes a difference to the byte order We can force a particular byte order to be used regardless of the processor architecture by starting the format string with an endianness character In this book we always use < , which means little-endian since that s the native endianness for the widely used Intel and AMD processors Big-endian (also called network byte order) is signi ed by > (or by ! ) If no endianness is speci ed the machine s endianness is used We recommend always specifying the endianness even if it is the same as the machine being used since doing so keeps the data portable The structcalcsize() function takes a format and returns how many bytes a struct using the format will occupy A format can also be stored by creating a structStruct() object giving it the format as its argument, with the size of the structStruct() object given by its size attribute For example:. 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Making Barcode In Java Using Barcode generation for Java .Related: EAN-13 Creating .NET , .NET EAN 128 Generator , UPC-A Generator .NET . ing, so unlike other encodings, Unicode can handle characters from a mixture of languages, rather than just one But how is Unicode stored Currently, slightly more than 100 000 Unicode characters are de ned, so even using signed numbers, a 32-bit integer is more than adequate to store any Unicode code point So the simplest way to store Unicode characters is as a sequence of 32-bit integers, one integer per character This sounds very convenient since it should produce a one to one mapping of characters to 32-bit integers, which would make indexing to a particular character very fast However, in practice things aren t so simple, since some Unicode characters can be represented by one or by two code points for example, can be represented by the single code point 0xE9 or by two code points, 0x65 and 0x301 (e and a combining acute accent) Nowadays, Unicode is usually stored both on disk and in memory using UTF8, UTF-16, or UTF-32 The rst of these, UTF-8, is backward compatible with 7-bit ASCII since its rst 128 code points are represented by single-byte values that are the same as the 7-bit ASCII character values To represent all the other Unicode characters, UTF-8 uses two, three, or more bytes per character This makes UTF-8 very compact for representing text that is all or mostly English The Gtk library (used by the GNOME windowing system, among others) uses UTF-8, and it seems that UTF-8 is becoming the de facto standard format for storing Unicode text in les for example, UTF-8 is the default format for XML, and many web pages these days use UTF-8 A lot of other software, such as Java, uses UCS-2 (which in modern form is the same as UTF-16) This representation uses two or four bytes per character, with the most common characters represented by two bytes The UTF-32 representation (also called UCS-4) uses four bytes per character Using UTF-16 or UTF-32 for storing Unicode in les or for sending over a network connection has a potential pitfall: If the data is sent as integers then the endianness matters One solution to this is to precede the data with a byte order mark so that readers can adapt accordingly This problem doesn t arise with UTF-8, which is another reason why it is so popular Python represents Unicode using either UCS-2 ( UTF-16) format, or UCS-4 (UTF-32) format In fact when using UCS-2, Python uses a slightly simpli ed version that always uses two bytes per character and so can only represent code points up to 0xFFFF When using UCS-4, Python can represent all the Unicode code points The maximum code point is stored in the read-only sysmaxunicode attribute if its value is 65 535, then Python was compiled to use UCS-2; if larger, then Python is using UCS-4 The strencode() method returns a sequence of bytes actually a bytes object, covered in 7 encoded according to the encoding argument we supply Using this method we can get some insight into the difference between encodings, and why making incorrect encoding assumptions can lead to errors:. 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