<commit_before>#
# models - Statistical Models
#

from info import __doc__

import model
import formula
import regression
import robust
import family
from glm import model as glm
from rlm import model as rlm

from numpy.testing import NumpyTest
test = NumpyTest().test<commit_msg>use absolute imports and define __all__<commit_after>#
# models - Statistical Models
#

from scipy.sandbox.models.info import __doc__

import scipy.sandbox.models.model
import scipy.sandbox.models.formula
import scipy.sandbox.models.regression
import scipy.sandbox.models.robust
import scipy.sandbox.models.family
from scipy.sandbox.models.glm import model as glm
from scipy.sandbox.models.rlm import model as rlm

__all__ = filter(lambda s:not s.startswith('_'),dir())

from numpy.testing import NumpyTest
test = NumpyTest().test
{'fraction_non_alphanumeric': 0.07407407407407407, 'fraction_numerical': 0.0, 'mean_word_length': 5.3858267716535435, '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': '3077534', 'n_tokens_mistral': 274, 'n_tokens_neox': 257, 'n_words': 80}