text: # (c) Copyright [2018-2021] Micro Focus or one of its affiliates.
  # Licensed under the Apache License, Version 2.0 (the "License");
  # You may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  # http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  # |_     |~) _  _| _  /~\    _ |.
  # |_)\/  |_)(_|(_||   \_/|_|(_|||
  #    /
  #              ____________       ______
  #             / __        `\     /     /
  #            |  \/         /    /     /
  #            |______      /    /     /
  #                   |____/    /     /
  #          _____________     /     /
  #          \           /    /     /
  #           \         /    /     /
  #            \_______/    /     /
  #             ______     /     /
  #             \    /    /     /
  #              \  /    /     /
  #               \/    /     /
  #                    /     /
  #                   /     /
  #                   \    /
  #                    \  /
  #                     \/
  #                    _
  # \  / _  __|_. _ _ |_)
  #  \/ (/_|  | |(_(_|| \/
  #                     /
  # VerticaPy is a Python library with scikit-like functionality to use to conduct
  # data science projects on data stored in Vertica, taking advantage Vertica’s
  # speed and built-in analytics and machine learning features. It supports the
  # entire data science life cycle, uses a ‘pipeline’ mechanism to sequentialize
  # data transformation operations, and offers beautiful graphical options.
  #
  # VerticaPy aims to solve all of these problems. The idea is simple: instead
  # of moving data around for processing, VerticaPy brings the logic to the data.
  #
  #
  __version__ = "0.6.3"
  __author__ = "Badr Ouali"
  __author_email__ = "badr.ouali@vertica.com"
  __description__ = """VerticaPy simplifies data exploration, data cleaning and machine learning in Vertica."""
  __url__ = "https://github.com/vertica/verticapy/"
  __license__ = "Apache License, Version 2.0"
  
  # vDataFrame
  from verticapy.vdataframe import *
  
  # Utilities
  from verticapy.utilities import *
  
  # Connect
  from verticapy.connect import *
  
  # SQL Functions
  import verticapy.stats
  
  # Learn
  import verticapy.learn
  
  try:
      import tqdm
  
      tqdm = True
  except:
      tqdm = False
  
  verticapy.options = {
      "cache": True,
      "max_rows": 100,
      "max_columns": 50,
      "percent_bar": None,
      "print_info": True,
      "query_on": False,
      "time_on": False,
      "mode": None,
      "random_state": None,
      "colors": [],
      "color_style": "default",
      "tqdm": tqdm,
      "cursor": None,
      "conn": None,
  }
  