





# Copyright 2022 The HuggingFace Team. 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.
import os
from typing import List
def  __UpperCamelCase    (						snake_case							,			snake_case      )    ->		Optional[int]:


   '''simple docstring'''







   if name != "training_function" and name != "main":
      raise ValueError(F"Incorrect function name passed: {name}, choose either 'main' or 'training_function'"      )
   __A   ,		__A    =  [], False
   for line in lines:
      if not found_start and F"def {name}" in line:
         __A    =  True
         good_lines.append(snake_case      )
         continue
      if found_start:
         if name == "training_function" and "def main" in line:
            return good_lines
         if name == "main" and "if __name__" in line:
            return good_lines
         good_lines.append(snake_case      )
def  __UpperCamelCase    (						snake_case      )    ->		List[str]:


   '''simple docstring'''







   return [line for line in lines if not line.lstrip().startswith('''#'''      ) and line != "\n"]
def  __UpperCamelCase    (						snake_case							,			snake_case							,			snake_case							,			snake_case = None      )    ->		List[Any]:


   '''simple docstring'''







   with open(snake_case							,			'''r'''      ) as f:
      __A    =  f.readlines()
   with open(os.path.abspath(os.path.join('''examples'''							,			'''nlp_example.py'''      )      )							,			'''r'''      ) as f:
      __A    =  f.readlines()
   with open(snake_case							,			'''r'''      ) as f:
      __A    =  f.readlines()
   if secondary_filename is not None:
      with open(snake_case							,			'''r'''      ) as f:
         __A    =  f.readlines()

    # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content
   if parser_only:
      __A    =  clean_lines(get_function_contents_by_name(snake_case							,			'''main'''      )      )
      __A    =  clean_lines(get_function_contents_by_name(snake_case							,			'''main'''      )      )
      __A    =  clean_lines(get_function_contents_by_name(snake_case							,			'''main'''      )      )
      if secondary_filename is not None:
         __A    =  clean_lines(get_function_contents_by_name(snake_case							,			'''main'''      )      )
   else:
      __A    =  clean_lines(get_function_contents_by_name(snake_case							,			'''training_function'''      )      )
      __A    =  clean_lines(get_function_contents_by_name(snake_case							,			'''training_function'''      )      )
      __A    =  clean_lines(get_function_contents_by_name(snake_case							,			'''training_function'''      )      )
      if secondary_filename is not None:
         __A    =  clean_lines(
             get_function_contents_by_name(snake_case							,			'''training_function'''      )      )

   __A    =  '''train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n'''

   # Specific code in our script that differs from the full version, aka what is new
   __A    =  []
   __A    =  []  # We keep track of the idxs just in case it's a repeated statement
   __A    =  iter(snake_case      )
   for i in range(len(snake_case      ) - 1      ):
      if i not in passed_idxs:
         __A    =  next(snake_case      )
         if (line not in full_file_func) and (line.lstrip() != _dl_line):
            if "TESTING_MOCKED_DATALOADERS" not in line:
               new_feature_code.append(snake_case      )
               passed_idxs.append(snake_case      )
            else:
               # Skip over the `config['num_epochs'] = 2` statement
               __A    =  next(snake_case      )

    # Extract out just the new parts from the full_file_training_func
   __A    =  []
   __A    =  []  # We keep track of the idxs just in case it's a repeated statement
   for i, line in enumerate(snake_case      ):
      if i not in passed_idxs:
         if (line not in full_file_func) and (line.lstrip() != _dl_line):
            if "TESTING_MOCKED_DATALOADERS" not in line:
               new_full_example_parts.append(snake_case      )
               passed_idxs.append(snake_case      )

    # Finally, get the overall diff
   __A    =  [line for line in new_feature_code if line not in new_full_example_parts]
   if secondary_filename is not None:
      __A    =  [line for line in full_file_contents if line not in secondary_file_func]
      __A    =  [line for line in diff_from_example if line not in diff_from_two]

   return diff_from_example








from __future__ import annotations
def  __UpperCamelCase    (						snake_case      )    ->		bool:


   '''simple docstring'''







   __A    =  42
   __A    =  list(snake_case      )
   __A   ,		__A    =  _vector[:-1], int(_vector[-1]      )
   __A    =  [int(snake_case      ) for digit in __vector]

   vector.reverse()
   for i, digit in enumerate(snake_case      ):
      if i & 1 == 0:
         __A    =  digit * 2
         if doubled > 9:
            doubled -= 9
         check_digit += doubled
      else:
         check_digit += digit

   return check_digit % 1_0 == 0


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    assert is_luhn("""79927398713""")
    assert not is_luhn("""79927398714""")

