<commit_before>"""Tokenization help for Python programs.

generate_tokens(readline) is a generator that breaks a stream of
text into Python tokens.  It accepts a readline-like method which is called
repeatedly to get the next line of input (or "" for EOF).  It generates
5-tuples with these members:

    the token type (see token.py)
    the token (a string)
    the starting (row, column) indices of the token (a 2-tuple of ints)
    the ending (row, column) indices of the token (a 2-tuple of ints)
    the original line (string)

It is designed to match the working of the Python tokenizer exactly, except
that it produces COMMENT tokens for comments and gives type OP for all
operators

Older entry points
    tokenize_loop(readline, tokeneater)
    tokenize(readline, tokeneater=printtoken)
are the same, except instead of generating tokens, tokeneater is a callback
function to which the 5 fields described above are passed as 5 arguments,
each time a new token is found."""

from __future__ import generators

__author__ = '<NAME> <<EMAIL>>'
__credits__ = \
    'GvR, ESR, <NAME>, <NAME>, <NAME>, <NAME>'

import string, re
from token import *

import token
__all__ = [x for x in dir(token) if x[0] != '_'] + ["COMMENT", "tokenize", "NL"]
del token

COMMENT = N_TOKENS
tok_name[COMMENT] = 'COMMENT'
NL = N_TOKENS + 1
tok_name[NL] = 'NL'
N_TOKENS += 2

def group(*choices): return '(' + '|'.join(choices) + ')'
def any(*choices): return apply(group, choices) + '*'
def maybe(*choices): return apply(group, choices) + '?'<commit_msg>Cleanup x so it is not left in module<commit_after>"""Tokenization help for Python programs.

generate_tokens(readline) is a generator that breaks a stream of
text into Python tokens.  It accepts a readline-like method which is called
repeatedly to get the next line of input (or "" for EOF).  It generates
5-tuples with these members:

    the token type (see token.py)
    the token (a string)
    the starting (row, column) indices of the token (a 2-tuple of ints)
    the ending (row, column) indices of the token (a 2-tuple of ints)
    the original line (string)

It is designed to match the working of the Python tokenizer exactly, except
that it produces COMMENT tokens for comments and gives type OP for all
operators

Older entry points
    tokenize_loop(readline, tokeneater)
    tokenize(readline, tokeneater=printtoken)
are the same, except instead of generating tokens, tokeneater is a callback
function to which the 5 fields described above are passed as 5 arguments,
each time a new token is found."""

from __future__ import generators

__author__ = '<NAME> <<EMAIL>>'
__credits__ = \
    'GvR, ESR, <NAME>, <NAME>, <NAME>, <NAME>'

import string, re
from token import *

import token
__all__ = [x for x in dir(token) if x[0] != '_'] + ["COMMENT", "tokenize", "NL"]
del x
del token

COMMENT = N_TOKENS
tok_name[COMMENT] = 'COMMENT'
NL = N_TOKENS + 1
tok_name[NL] = 'NL'
N_TOKENS += 2

def group(*choices): return '(' + '|'.join(choices) + ')'
def any(*choices): return apply(group, choices) + '*'
def maybe(*choices): return apply(group, choices) + '?'
{'fraction_non_alphanumeric': 0.10102960102960103, 'fraction_numerical': 0.005148005148005148, 'mean_word_length': 4.388214904679376, 'pattern_counts': {'":': 0, '<': 17, '<?xml version=': 0, '>': 17, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2172001', 'n_tokens_mistral': 981, 'n_tokens_neox': 960, 'n_words': 422}