<commit_before>from __future__ import absolute_import


import inspect

from sklearn import linear_model as _orig
from sklearn import base
import six
import numpy as np
import pandas as pd
from sklearn import base

import ibex


for name in dir(_orig):
    if name.startswith('_'):
        continue
    est = getattr(_orig, name)
    try:<commit_msg>cleaning health<commit_after>from __future__ import absolute_import


import inspect

from sklearn import linear_model as _orig
from sklearn import base

import ibex


for name in dir(_orig):
    if name.startswith('_'):
        continue
    est = getattr(_orig, name)
    try:
{'fraction_non_alphanumeric': 0.05422647527910686, 'fraction_numerical': 0.0, 'mean_word_length': 3.90625, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, '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': '7623777', 'n_tokens_mistral': 189, 'n_tokens_neox': 183, 'n_words': 72}