tokenize module provides a lexical scanner for Python source code,
implemented in Python. The scanner in this module returns comments as tokens
as well, making it useful for implementing “pretty-printers”, including
colorizers for on-screen displays.
To simplify token stream handling, all operator and
delimiter tokens and
Ellipsis are returned using
OP token type. The exact
type can be determined by checking the
exact_type property on the
named tuple returned from
The primary entry point is a generator:
tokenize()generator requires one argument, readline, which must be a callable object which provides the same interface as the
io.IOBase.readline()method of file objects. Each call to the function should return one line of input as bytes.
The generator produces 5-tuples with these members: the token type; the token string; a 2-tuple
(srow, scol)of ints specifying the row and column where the token begins in the source; a 2-tuple
(erow, ecol)of ints specifying the row and column where the token ends in the source; and the line on which the token was found. The line passed (the last tuple item) is the physical line. The 5 tuple is returned as a named tuple with the field names:
type string start end line.
Alterado na versão 3.1: Adiciona suporte para tuplas nomeadas.
Alterado na versão 3.3: Added support for
Tokenize a source reading unicode strings instead of bytes.
Another function is provided to reverse the tokenization process. This is useful for creating tools that tokenize a script, modify the token stream, and write back the modified script.
Converts tokens back into Python source code. The iterable must return sequences with at least two elements, the token type and the token string. Any additional sequence elements are ignored.
The reconstructed script is returned as a single string. The result is guaranteed to tokenize back to match the input so that the conversion is lossless and round-trips are assured. The guarantee applies only to the token type and token string as the spacing between tokens (column positions) may change.
tokenize() needs to detect the encoding of source files it tokenizes. The
function it uses to do this is available:
It will call readline a maximum of twice, and return the encoding used (as a string) and a list of any lines (not decoded from bytes) it has read in.
It detects the encoding from the presence of a UTF-8 BOM or an encoding cookie as specified in PEP 263. If both a BOM and a cookie are present, but disagree, a
SyntaxErrorwill be raised. Note that if the BOM is found,
'utf-8-sig'will be returned as an encoding.
If no encoding is specified, then the default of
'utf-8'will be returned.
Open a file in read only mode using the encoding detected by
Novo na versão 3.2.
- exception tokenize.TokenError¶
Raised when either a docstring or expression that may be split over several lines is not completed anywhere in the file, for example:
"""Beginning of docstring
[1, 2, 3
Note that unclosed single-quoted strings do not cause an error to be
raised. They are tokenized as
ERRORTOKEN, followed by the
tokenization of their contents.
Uso da linha de comando¶
Novo na versão 3.3.
tokenize module can be executed as a script from the command line.
It is as simple as:
python -m tokenize [-e] [filename.py]
As seguintes opções são aceitas:
- -h, --help¶
show this help message and exit
- -e, --exact¶
display token names using the exact type
filename.py is specified its contents are tokenized to stdout.
Otherwise, tokenization is performed on stdin.
Example of a script rewriter that transforms float literals into Decimal objects:
from tokenize import tokenize, untokenize, NUMBER, STRING, NAME, OP from io import BytesIO def decistmt(s): """Substitute Decimals for floats in a string of statements. >>> from decimal import Decimal >>> s = 'print(+21.3e-5*-.1234/81.7)' >>> decistmt(s) "print (+Decimal ('21.3e-5')*-Decimal ('.1234')/Decimal ('81.7'))" The format of the exponent is inherited from the platform C library. Known cases are "e-007" (Windows) and "e-07" (not Windows). Since we're only showing 12 digits, and the 13th isn't close to 5, the rest of the output should be platform-independent. >>> exec(s) #doctest: +ELLIPSIS -3.21716034272e-0...7 Output from calculations with Decimal should be identical across all platforms. >>> exec(decistmt(s)) -3.217160342717258261933904529E-7 """ result =  g = tokenize(BytesIO(s.encode('utf-8')).readline) # tokenize the string for toknum, tokval, _, _, _ in g: if toknum == NUMBER and '.' in tokval: # replace NUMBER tokens result.extend([ (NAME, 'Decimal'), (OP, '('), (STRING, repr(tokval)), (OP, ')') ]) else: result.append((toknum, tokval)) return untokenize(result).decode('utf-8')
Example of tokenizing from the command line. The script:
def say_hello(): print("Hello, World!") say_hello()
will be tokenized to the following output where the first column is the range of the line/column coordinates where the token is found, the second column is the name of the token, and the final column is the value of the token (if any)
$ python -m tokenize hello.py 0,0-0,0: ENCODING 'utf-8' 1,0-1,3: NAME 'def' 1,4-1,13: NAME 'say_hello' 1,13-1,14: OP '(' 1,14-1,15: OP ')' 1,15-1,16: OP ':' 1,16-1,17: NEWLINE '\n' 2,0-2,4: INDENT ' ' 2,4-2,9: NAME 'print' 2,9-2,10: OP '(' 2,10-2,25: STRING '"Hello, World!"' 2,25-2,26: OP ')' 2,26-2,27: NEWLINE '\n' 3,0-3,1: NL '\n' 4,0-4,0: DEDENT '' 4,0-4,9: NAME 'say_hello' 4,9-4,10: OP '(' 4,10-4,11: OP ')' 4,11-4,12: NEWLINE '\n' 5,0-5,0: ENDMARKER ''
The exact token type names can be displayed using the
$ python -m tokenize -e hello.py 0,0-0,0: ENCODING 'utf-8' 1,0-1,3: NAME 'def' 1,4-1,13: NAME 'say_hello' 1,13-1,14: LPAR '(' 1,14-1,15: RPAR ')' 1,15-1,16: COLON ':' 1,16-1,17: NEWLINE '\n' 2,0-2,4: INDENT ' ' 2,4-2,9: NAME 'print' 2,9-2,10: LPAR '(' 2,10-2,25: STRING '"Hello, World!"' 2,25-2,26: RPAR ')' 2,26-2,27: NEWLINE '\n' 3,0-3,1: NL '\n' 4,0-4,0: DEDENT '' 4,0-4,9: NAME 'say_hello' 4,9-4,10: LPAR '(' 4,10-4,11: RPAR ')' 4,11-4,12: NEWLINE '\n' 5,0-5,0: ENDMARKER ''
Example of tokenizing a file programmatically, reading unicode
strings instead of bytes with
import tokenize with tokenize.open('hello.py') as f: tokens = tokenize.generate_tokens(f.readline) for token in tokens: print(token)
Or reading bytes directly with
import tokenize with open('hello.py', 'rb') as f: tokens = tokenize.tokenize(f.readline) for token in tokens: print(token)