<commit_before>from pathlib import Path
from typing import List
from typing import Optional
from typing import Dict
from typing import Type
from typing import Union

import pandas as pd

from autokeras import auto_model
from autokeras import blocks
from autokeras import nodes as input_module
from autokeras.engine import tuner
from autokeras.tasks.structured_data_mixin import StructuredDataMixin
from autokeras.tuners import greedy
from autokeras.utils import types


class SupervisedTimeseriesDataPipeline(StructuredDataMixin, auto_model.AutoModel):

    def __init__(self,
                 outputs,
                 column_names=None,
                 column_types=None,<commit_msg>fix import format with isort<commit_after>from pathlib import Path
from typing import Dict, List, Optional, Type, Union

import pandas as pd

from autokeras import auto_model, blocks
from autokeras import nodes as input_module
from autokeras.engine import tuner
from autokeras.tasks.structured_data_mixin import StructuredDataMixin
from autokeras.tuners import greedy
from autokeras.utils import types


class SupervisedTimeseriesDataPipeline(StructuredDataMixin, auto_model.AutoModel):

    def __init__(self,
                 outputs,
                 column_names=None,
                 column_types=None,
{'fraction_non_alphanumeric': 0.0347758887171561, 'fraction_numerical': 0.0, 'mean_word_length': 4.138888888888889, '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': '4320097', 'n_tokens_mistral': 347, 'n_tokens_neox': 336, 'n_words': 120}