Metadata-Version: 2.1
Name: tokenize-rt
Version: 3.0.0
Summary: A wrapper around the stdlib `tokenize` which roundtrips.
Home-page: https://github.com/asottile/tokenize-rt
Author: Anthony Sottile
Author-email: asottile@umich.edu
License: MIT
Description: [![Build Status](https://travis-ci.org/asottile/tokenize-rt.svg?branch=master)](https://travis-ci.org/asottile/tokenize-rt)
        [![Coverage Status](https://coveralls.io/repos/github/asottile/tokenize-rt/badge.svg?branch=master)](https://coveralls.io/github/asottile/tokenize-rt?branch=master)
        
        tokenize-rt
        ===========
        
        The stdlib `tokenize` module does not properly roundtrip.  This wrapper
        around the stdlib provides two additional tokens `ESCAPED_NL` and
        `UNIMPORTANT_WS`, and a `Token` data type.  Use `src_to_tokens` and
        `tokens_to_src` to roundtrip.
        
        This library is useful if you're writing a refactoring tool based on the
        python tokenization.
        
        ## Installation
        
        `pip install tokenize-rt`
        
        ## Usage
        
        ### datastructures
        
        #### `tokenize_rt.Offset(line=None, utf8_byte_offset=None)`
        
        A token offset, useful as a key when cross referencing the `ast` and the
        tokenized source.
        
        #### `tokenize_rt.Token(name, src, line=None, utf8_byte_offset=None)`
        
        Construct a token
        
        - `name`: one of the token names listed in `token.tok_name` or
          `ESCAPED_NL` or `UNIMPORTANT_WS`
        - `src`: token's source as text
        - `line`: the line number that this token appears on.  This will be `None` for
           `ESCAPED_NL` and `UNIMPORTANT_WS` tokens.
        - `utf8_byte_offset`: the utf8 byte offset that this token appears on in the
          line.  This will be `None` for `ESCAPED_NL` and `UNIMPORTANT_WS` tokens.
        
        #### `tokenize_rt.Token.offset`
        
        Retrieves an `Offset` for this token.
        
        ### converting to and from `Token` representations
        
        #### `tokenize_rt.src_to_tokens(text) -> List[Token]`
        
        #### `tokenize_rt.tokens_to_src(Sequence[Token]) -> text`
        
        ### additional tokens added by `tokenize-rt`
        
        #### `tokenize_rt.ESCAPED_NL`
        
        #### `tokenize_rt.UNIMPORTANT_WS`
        
        ### helpers
        
        #### `tokenize_rt.NON_CODING_TOKENS`
        
        A `frozenset` containing tokens which may appear between others while not
        affecting control flow or code:
        - `COMMENT`
        - `ESCAPED_NL`
        - `NL`
        - `UNIMPORTANT_WS`
        
        #### `tokenize_rt.parse_string_literal(text) -> Tuple[str, str]`
        
        parse a string literal into its prefix and string content
        
        ```pycon
        >>> parse_string_literal('f"foo"')
        ('f', '"foo"')
        ```
        
        #### `tokenize_rt.reversed_enumerate(Sequence[Token]) -> Iterator[Tuple[int, Token]]`
        
        yields `(index, token)` pairs.  Useful for rewriting source.
        
        ## Differences from `tokenize`
        
        - `tokenize-rt` adds `ESCAPED_NL` for a backslash-escaped newline "token"
        - `tokenzie-rt` adds `UNIMPORTANT_WS` for whitespace (discarded in `tokenize`)
        - `tokenize-rt` normalizes string prefixes, even if they are not parsed -- for
          instance, this means you'll see `Token('STRING', "f'foo'", ...)` even in
          python 2.
        - `tokenize-rt` normalizes `DEDENT` tokens so they appear before the
          indentation instead of after
        
        ## Sample usage
        
        - https://github.com/asottile/add-trailing-comma
        - https://github.com/asottile/future-fstrings
        - https://github.com/asottile/pyupgrade
        - https://github.com/asottile/yesqa
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
Description-Content-Type: text/markdown
