old_contents: # -*- coding: utf-8 -*-
  
  """
  Copyright [2009-2018] EMBL-European Bioinformatics Institute
  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.
  """
  
  import re
  import itertools as it
  
  DISALLOWED_DATABASE_TERMS = {
      'mirror',
      'chok1gs',  # skip golden hamster genome (same taxid as CriGri)
      'female',  # skip female naked mole rat genome
  }
  
  
  def database_key(name):
      parts = name.strip().split('_core_')
      numbers = parts[1].split('_')
      major = int(numbers[0])
      match = re.match(r'^(\d+)([^\d]?)$', numbers[1])
      if not match:
          raise ValueError("Cannot process: " + name)
      minor = int(match.group(1))
      suffix = ''
      if match.group(2):
          suffix = match.group(2)
      return (parts[0], major, minor, suffix)
  
  
  def major(database):
      return database_key(database)[1]
  
  
  def select_max(handle):
      databases = []
      for line in handle:
          if any(t in line for t in DISALLOWED_DATABASE_TERMS):
              continue
          if 'mus_musculus' in line and line.count('_') != 4:
              continue  # skip mouse strains Mouse 129S1/SvImJ
          if '_core_' in line:
              databases.append(line.strip())
  
      max_major = max(database_key(d)[1] for d in databases)
      possible = it.ifilter(lambda d: major(d) == max_major, databases)
      grouped = it.groupby(possible, lambda d: database_key(d)[0])
      for _, databases in grouped:
          yield max(databases, key=database_key)
  
  
  def load_known(url):
      return set()
  
  
  def write_max(handle, output, db_url=None):
      known = load_known(db_url)
      for name in select_max(handle):
          if name not in known:
              output.write(name)
              output.write('\n')
  
new_contents: # -*- coding: utf-8 -*-
  
  """
  Copyright [2009-2018] EMBL-European Bioinformatics Institute
  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.
  """
  
  import re
  import itertools as it
  
  DISALLOWED_DATABASE_TERMS = {
      'mirror',
      'chok1gs',  # skip golden hamster genome (same taxid as CriGri)
      'female',  # skip female naked mole rat genome
  }
  
  
  def database_key(name):
      parts = name.strip().split('_core_')
      numbers = parts[1].split('_')
      major = int(numbers[0])
      match = re.match(r'^(\d+)([^\d]?)$', numbers[1])
      if not match:
          raise ValueError("Cannot process: " + name)
      minor = int(match.group(1))
      suffix = ''
      if match.group(2):
          suffix = match.group(2)
      return (parts[0], major, minor, suffix)
  
  
  def major(database):
      return database_key(database)[1]
  
  
  def select_max(handle):
      databases = []
      for line in handle:
          if any(t in line for t in DISALLOWED_DATABASE_TERMS):
              continue
          if 'mus_musculus' in line and line.count('_') != 4:
              continue  # skip mouse strains Mouse 129S1/SvImJ
          if '_core_' in line:
              databases.append(line.strip())
  
      max_major = max(database_key(d)[1] for d in databases)
      possible = it.ifilter(lambda d: major(d) == max_major, databases)
      grouped = it.groupby(possible, lambda d: database_key(d)[0])
      for _, databases in grouped:
          yield max(databases, key=database_key)
  
  
  def write_max(handle, output):
      for name in select_max(handle):
          output.write(name)
          output.write('\n')
  
subject: Remove unneeded code