32.7. tokenize – 对 Python 代码使用的标记解析器¶
源码： Lib/tokenize.py
The 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 运算符 and 分隔符
tokens are returned using the generic token.OP token type. The exact
type can be determined by checking the exact_type property on the
named tuple returned from tokenize.tokenize().
32.7.1. 对输入进行解析标记¶
主要的入口是一个 generator:
-
tokenize.tokenize(readline)¶ 生成器
tokenize()需要一个 readline 参数，这个参数必须是一个可调用对象，且能提供与文件对象的io.IOBase.readline()方法相同的接口。每次调用这个函数都要 返回字节类型输入的一行数据。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 logical line; continuation lines are included. The 5 tuple is returned as a named tuple with the field names:type string start end line.The returned named tuple has an additional property named
exact_typethat contains the exact operator type fortoken.OPtokens. For all other token typesexact_typeequals the named tupletypefield.3.1 版更變: Added support for named tuples.
3.3 版更變: Added support for
exact_type.tokenize()determines the source encoding of the file by looking for a UTF-8 BOM or encoding cookie, according to PEP 263.
All constants from the token module are also exported from
tokenize, as are three additional token type values:
-
tokenize.COMMENT¶ Token value used to indicate a comment.
-
tokenize.NL¶ Token value used to indicate a non-terminating newline. The NEWLINE token indicates the end of a logical line of Python code; NL tokens are generated when a logical line of code is continued over multiple physical lines.
-
tokenize.ENCODING¶ Token value that indicates the encoding used to decode the source bytes into text. The first token returned by
tokenize()will always be an ENCODING token.
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.
-
tokenize.untokenize(iterable)¶ 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.
It returns bytes, encoded using the ENCODING token, which is the first token sequence output by
tokenize().
tokenize() needs to detect the encoding of source files it tokenizes. The
function it uses to do this is available:
-
tokenize.detect_encoding(readline)¶ The
detect_encoding()function is used to detect the encoding that should be used to decode a Python source file. It requires one argument, readline, in the same way as thetokenize()generator.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 SyntaxError will 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.Use
open()to open Python source files: it usesdetect_encoding()to detect the file encoding.
-
tokenize.open(filename)¶ Open a file in read only mode using the encoding detected by
detect_encoding().3.2 版新加入.
-
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
或是：
[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.
32.7.2. Command-Line Usage¶
3.3 版新加入.
The tokenize module can be executed as a script from the command line.
It is as simple as:
python -m tokenize [-e] [filename.py]
The following options are accepted:
-
-h,--help¶ show this help message and exit
-
-e,--exact¶ display token names using the exact type
If filename.py is specified its contents are tokenized to stdout.
Otherwise, tokenization is performed on stdin.
32.7.3. 例子¶
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 -e option:
$ 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 ''