old_contents: from urllib.request import urlretrieve
  from os.path import isfile, isdir
  import zipfile
  
  from tqdm import tqdm
  
  __author__ = 'Lucas Kjaero'
  
  
  class DLProgress(tqdm):
      """ Class to show progress on dataset download """
      # Code adapted from a Udacity machine learning project.
      last_block = 0
  
      def hook(self, block_num=1, block_size=1, total_size=None):
          self.total = total_size
          self.update((block_num - self.last_block) * block_size)
          self.last_block = block_num
  
  
  def download_datasets():
      """
      Checks to see if all the datasets are present. If not, it downloads and unzips them. 
      """
      datasets = {
          "HWDB1.0trn": "url",
          "HWDB1.0tst": "url",
          "OLHWDB1.0trn": "url",
          "OLHWDB1.0tst": "url"
      }
  
      was_error = False
      for dataset in datasets:
          # Make sure the zip files are there
          zip_path = dataset + ".zip"
          if not isfile(zip_path):
              try:
                  with DLProgress(unit='B', unit_scale=True, miniters=1, desc=dataset) as pbar:
                      urlretrieve(datasets[dataset], zip_path, pbar.hook)
              except Exception as ex:
                  print("Error downloading %s: %s" % (dataset, ex))
                  was_error = True
  
          # Unzip the data files
          if not isdir(dataset):
              try:
                  with zipfile.ZipFile(zip_path) as zip_archive:
                      zip_archive.extractall()
                      zip_archive.close()
              except Exception as ex:
                  print("Error unzipping %s: %s" % (zip_path, ex))
                  was_error = True
  
      if was_error:
          print("\nThis recognizer is trained by the CASIA handwriting database. "
                "If the download doesn't work, you can get the files at nlpr.ia.ac.cn")
  
  
  def main():
      download_datasets()
  
  if __name__ == '__main__':
      main()
  
new_contents: from urllib.request import urlretrieve
  from os.path import isfile, isdir
  import zipfile
  
  from tqdm import tqdm
  
  __author__ = 'Lucas Kjaero'
  
  
  class DLProgress(tqdm):
      """ Class to show progress on dataset download """
      # Code adapted from a Udacity machine learning project.
      last_block = 0
  
      def hook(self, block_num=1, block_size=1, total_size=None):
          self.total = total_size
          self.update((block_num - self.last_block) * block_size)
          self.last_block = block_num
  
  
  def download_datasets():
      """
      Checks to see if all the datasets are present. If not, it downloads and unzips them. 
      """
      datasets = {
          "HWDB1.0trn": "http://www.nlpr.ia.ac.cn/databases/download/feature_data/HWDB1.0trn.zip",
          "HWDB1.0tst": "http://www.nlpr.ia.ac.cn/databases/download/feature_data/HWDB1.0tst.zip",
          "competition-gnt": "http://www.nlpr.ia.ac.cn/databases/Download/competition/competition-gnt.zip",
          "competition-dgr": "http://www.nlpr.ia.ac.cn/databases/Download/competition/competition-dgr.zip"
      }
  
      was_error = False
      for dataset in datasets:
          # Make sure the zip files are there
          zip_path = dataset + ".zip"
          if not isfile(zip_path):
              try:
                  with DLProgress(unit='B', unit_scale=True, miniters=1, desc=dataset) as pbar:
                      urlretrieve(datasets[dataset], zip_path, pbar.hook)
              except Exception as ex:
                  print("Error downloading %s: %s" % (dataset, ex))
                  was_error = True
  
          # Unzip the data files
          if not isdir(dataset):
              try:
                  with zipfile.ZipFile(zip_path) as zip_archive:
                      zip_archive.extractall()
                      zip_archive.close()
              except Exception as ex:
                  print("Error unzipping %s: %s" % (zip_path, ex))
                  was_error = True
  
      if was_error:
          print("\nThis recognizer is trained by the CASIA handwriting database. " +
                "If the download doesn't work, you can get the files at nlpr.ia.ac.cn")
  
  
  def load_datasets():
      pass
  
  
  def main():
      download_datasets()
  
  if __name__ == '__main__':
      main()
  
subject: Update dataset URLs