TypeError: attrib() got an unexpected keyword argument 'convert'

[ParthS28]

I've been getting this error recently. I have used nltk before without any problem. Why is this happening?
I am using jupyter (python3) notebook. However, if I import nltk on terminal, there is no error.

TypeError                                 Traceback (most recent call last)
<ipython-input-1-53ff8bda7639> in <module>()
      1 import numpy as np
      2 import pandas as pd
----> 3 from nltk.tokenize import word_tokenize

/home/parth/.local/lib/python2.7/site-packages/nltk/__init__.pyc in <module>()
    141 ###########################################################
    142 
--> 143 from nltk.chunk import *
    144 from nltk.classify import *
    145 from nltk.inference import *

/home/parth/.local/lib/python2.7/site-packages/nltk/chunk/__init__.py in <module>()
    155 from nltk.data import load
    156 
--> 157 from nltk.chunk.api import ChunkParserI
    158 from nltk.chunk.util import (
    159     ChunkScore,

/home/parth/.local/lib/python2.7/site-packages/nltk/chunk/api.py in <module>()
     11 ##//////////////////////////////////////////////////////
     12 
---> 13 from nltk.parse import ParserI
     14 
     15 from nltk.chunk.util import ChunkScore

/home/parth/.local/lib/python2.7/site-packages/nltk/parse/__init__.py in <module>()
     98 from nltk.parse.malt import MaltParser
     99 from nltk.parse.evaluate import DependencyEvaluator
--> 100 from nltk.parse.transitionparser import TransitionParser
    101 from nltk.parse.bllip import BllipParser
    102 from nltk.parse.corenlp import CoreNLPParser, CoreNLPDependencyParser

/home/parth/.local/lib/python2.7/site-packages/nltk/parse/transitionparser.py in <module>()
     20     from numpy import array
     21     from scipy import sparse
---> 22     from sklearn.datasets import load_svmlight_file
     23     from sklearn import svm
     24 except ImportError:

/home/parth/.local/lib/python2.7/site-packages/sklearn/datasets/__init__.py in <module>()
     21 from .lfw import fetch_lfw_pairs
     22 from .lfw import fetch_lfw_people
---> 23 from .twenty_newsgroups import fetch_20newsgroups
     24 from .twenty_newsgroups import fetch_20newsgroups_vectorized
     25 from .mldata import fetch_mldata, mldata_filename

/home/parth/.local/lib/python2.7/site-packages/sklearn/datasets/twenty_newsgroups.py in <module>()
     42 from .base import _fetch_remote
     43 from .base import RemoteFileMetadata
---> 44 from ..feature_extraction.text import CountVectorizer
     45 from ..preprocessing import normalize
     46 from ..utils import deprecated

/home/parth/.local/lib/python2.7/site-packages/sklearn/feature_extraction/__init__.py in <module>()
      8 from .hashing import FeatureHasher
      9 from .image import img_to_graph, grid_to_graph
---> 10 from . import text
     11 
     12 __all__ = ['DictVectorizer', 'image', 'img_to_graph', 'grid_to_graph', 'text',

/home/parth/.local/lib/python2.7/site-packages/sklearn/feature_extraction/text.py in <module>()
     28 from ..externals import six
     29 from ..externals.six.moves import xrange
---> 30 from ..preprocessing import normalize
     31 from .hashing import FeatureHasher
     32 from .stop_words import ENGLISH_STOP_WORDS

/home/parth/.local/lib/python2.7/site-packages/sklearn/preprocessing/__init__.py in <module>()
      4 """
      5 
----> 6 from ._function_transformer import FunctionTransformer
      7 
      8 from .data import Binarizer

/home/parth/.local/lib/python2.7/site-packages/sklearn/preprocessing/_function_transformer.py in <module>()
      3 from ..base import BaseEstimator, TransformerMixin
      4 from ..utils import check_array
----> 5 from ..utils.testing import assert_allclose_dense_sparse
      6 from ..externals.six import string_types
      7 

/home/parth/.local/lib/python2.7/site-packages/sklearn/utils/testing.py in <module>()
    749 
    750 try:
--> 751     import pytest
    752 
    753     skip_if_32bit = pytest.mark.skipif(_IS_32BIT,

/usr/lib/python2.7/dist-packages/pytest.py in <module>()
     11     hookspec, hookimpl
     12 )
---> 13 from _pytest.fixtures import fixture, yield_fixture
     14 from _pytest.assertion import register_assert_rewrite
     15 from _pytest.freeze_support import freeze_includes

/usr/lib/python2.7/dist-packages/_pytest/fixtures.py in <module>()
    840 
    841 @attr.s(frozen=True)
--> 842 class FixtureFunctionMarker(object):
    843     scope = attr.ib()
    844     params = attr.ib(convert=attr.converters.optional(tuple))

/usr/lib/python2.7/dist-packages/_pytest/fixtures.py in FixtureFunctionMarker()
    842 class FixtureFunctionMarker(object):
    843     scope = attr.ib()
--> 844     params = attr.ib(convert=attr.converters.optional(tuple))
    845     autouse = attr.ib(default=False)
    846     ids = attr.ib(default=None, convert=_ensure_immutable_ids)

TypeError: attrib() got an unexpected keyword argument 'convert'

[fievelk]

I couldn't reproduce the issue: I'm able to import word_tokenize both from the terminal and Jupiter. Are you using the same environment (e.g. the same environment created with virtualenv) for both your attempts?