TypeError: import_optional_dependency() got an unexpected keyword argument 'errors'

[ziadzee]

Hello,

I'm trying to import DeepTables into my Google Colab notebook like so:

import deeptables
from deeptables.models import make_experiment
from deeptables.models.hyper_dt import DTModuleSpace, DnnModule, DTFit

However, I am met with the following errors:

TypeError                                 Traceback (most recent call last)
<ipython-input-20-5ce1cb115d93> in <module>()
     50 
     51 import deeptables
---> 52 from deeptables.models import make_experiment
     53 from deeptables.models.hyper_dt import DTModuleSpace, DnnModule, DTFit

11 frames
/usr/local/lib/python3.7/dist-packages/deeptables/models/__init__.py in <module>()
      2 __author__ = 'yangjian'
      3 
----> 4 from deeptables.models.config import ModelConfig
      5 from deeptables.models.modelset import ModelInfo, ModelSet
      6 from deeptables.models.deeptable import DeepTable

/usr/local/lib/python3.7/dist-packages/deeptables/models/config.py in <module>()
      3 import collections
      4 import os
----> 5 from ..utils import consts
      6 from . import deepnets as deepnets
      7 

/usr/local/lib/python3.7/dist-packages/deeptables/utils/__init__.py in <module>()
      4 
      5 """
----> 6 from hypernets.utils import fs, hash_data, infer_task_type, load_data, isnotebook
      7 from hypernets.tabular.metrics import calc_score

/usr/local/lib/python3.7/dist-packages/hypernets/utils/__init__.py in <module>()
      8 from ._fsutils import filesystem as fs
      9 from ._tic_tok import tic_toc, report as tic_toc_report, report_as_dataframe as tic_toc_report_as_dataframe
---> 10 from .common import generate_id, combinations, isnotebook, Counter, to_repr, get_params
     11 from .common import infer_task_type, hash_data, hash_dataframe, load_data, load_module
     12 from ._estimators import load_estimator, save_estimator

/usr/local/lib/python3.7/dist-packages/hypernets/utils/common.py in <module>()
     15 
     16 import dask.array as da
---> 17 import dask.dataframe as dd
     18 import numpy as np
     19 import pandas as pd

/usr/local/lib/python3.7/dist-packages/dask/dataframe/__init__.py in <module>()
      1 try:
----> 2     from .core import (
      3         DataFrame,
      4         Series,
      5         Index,

/usr/local/lib/python3.7/dist-packages/dask/dataframe/core.py in <module>()
     75 no_default = "__no_default__"
     76 
---> 77 pd.set_option("compute.use_numexpr", False)
     78 
     79 

/usr/local/lib/python3.7/dist-packages/pandas/_config/config.py in __call__(self, *args, **kwds)
    231 # class below which wraps functions inside a callable, and converts
    232 # __doc__ into a property function. The doctsrings below are templates
--> 233 # using the py2.6+ advanced formatting syntax to plug in a concise list
    234 # of options, and option descriptions.
    235 

/usr/local/lib/python3.7/dist-packages/pandas/_config/config.py in _set_option(*args, **kwargs)
    139         if o and o.validator:
    140             o.validator(v)
--> 141 
    142         # walk the nested dict
    143         root, k = _get_root(key)

/usr/local/lib/python3.7/dist-packages/pandas/core/config_init.py in use_numexpr_cb(key)
     48 
     49 
---> 50 def use_numexpr_cb(key):
     51     from pandas.core.computation import expressions
     52 

/usr/local/lib/python3.7/dist-packages/pandas/core/computation/expressions.py in <module>()
     17 from pandas._typing import FuncType
     18 
---> 19 from pandas.core.computation.check import NUMEXPR_INSTALLED
     20 from pandas.core.ops import roperator
     21 

/usr/local/lib/python3.7/dist-packages/pandas/core/computation/check.py in <module>()
      1 from pandas.compat._optional import import_optional_dependency
      2 
----> 3 ne = import_optional_dependency("numexpr", errors="warn")
      4 NUMEXPR_INSTALLED = ne is not None
      5 if NUMEXPR_INSTALLED:

TypeError: import_optional_dependency() got an unexpected keyword argument 'errors'

The strange thing is that everything imports normally without errors on a local Jupyter Notebook however it's throwing this error on Colab. My pandas version is the latest build and I'm unable to find the issue with this. Has anyone has a similar issue on Colab? Thanks

[lixfz]

What python packages are you installed?
Run pip list and paste the outputs here pls.