text: # Copyright 2018 The Cornac Authors. All Rights Reserved.
  #
  # 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.
  # ============================================================================
  """Link to the data: https://grouplens.org/datasets/movielens/"""
  
  from typing import List
  from collections import namedtuple
  
  from ..utils import validate_format
  from ..utils import cache
  from ..data import Reader
  from ..data.reader import read_text
  
  
  VALID_DATA_FORMATS = ["UIR", "UIRT"]
  
  MovieLens = namedtuple("MovieLens", ["url", "unzip", "path", "sep", "skip"])
  ML_DATASETS = {
      "100K": MovieLens(
          "http://files.grouplens.org/datasets/movielens/ml-100k/u.data",
          False,
          "ml-100k/u.data",
          "\t",
          0,
      ),
      "1M": MovieLens(
          "http://files.grouplens.org/datasets/movielens/ml-1m.zip",
          True,
          "ml-1m/ratings.dat",
          "::",
          0,
      ),
      "10M": MovieLens(
          "http://files.grouplens.org/datasets/movielens/ml-10m.zip",
          True,
          "ml-10M100K/ratings.dat",
          "::",
          0,
      ),
      "20M": MovieLens(
          "http://files.grouplens.org/datasets/movielens/ml-20m.zip",
          True,
          "ml-20m/ratings.csv",
          ",",
          1,
      ),
  }
  
  
  def load_feedback(fmt="UIR", variant="100K", reader=None):
      """Load the user-item ratings of one of the MovieLens datasets
  
      Parameters
      ----------
      fmt: str, default: 'UIR'
          Data format to be returned, one of ['UIR', 'UIRT'].
  
      variant: str, optional, default: '100K'
          Specifies which MovieLens dataset to load, one of ['100K', '1M', '10M', '20M'].
  
      reader: `obj:cornac.data.Reader`, optional, default: None
          Reader object used to read the data.
  
      Returns
      -------
      data: array-like
          Data in the form of a list of tuples depending on the given data format.
      """
  
      fmt = validate_format(fmt, VALID_DATA_FORMATS)
  
      ml = ML_DATASETS.get(variant.upper(), None)
      if ml is None:
          raise ValueError("variant must be one of {}.".format(ML_DATASETS.keys()))
  
      fpath = cache(url=ml.url, unzip=ml.unzip, relative_path=ml.path)
      reader = Reader() if reader is None else reader
      return reader.read(fpath, fmt, sep=ml.sep, skip_lines=ml.skip)
  
  
  def load_plot():
      """Load the plots of movies provided @ http://dm.postech.ac.kr/~cartopy/ConvMF/
  
      Returns
      -------
      texts: List
          List of text documents, one per item.
  
      ids: List
          List of item ids aligned with indices in `texts`.
      """
      fpath = cache(
          url="https://static.preferred.ai/cornac/datasets/movielens/ml_plot.zip",
          unzip=True,
          relative_path="movielens/ml_plot.dat",
      )
      texts, ids = read_text(fpath, sep="::")
      return texts, ids
  