

# 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    snake_case_(_UpperCamelCase				, _UpperCamelCase  )							->			Optional[Any]:



  """simple docstring"""






  if name != "training_function" and name != "main":
    raise ValueError(F"""Incorrect function name passed: {name}, choose either 'main' or 'training_function'"""  )
  _snake_case,  _snake_case		=							[], False
  for line in lines:
    if not found_start and F"""def {name}""" in line:
      _snake_case		=							True
      good_lines.append(_UpperCamelCase  )
      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(_UpperCamelCase  )



def    snake_case_(_UpperCamelCase  )							->			Any:



  """simple docstring"""






  return [line for line in lines if not line.lstrip().startswith('''#'''  ) and line != "\n"]



def    snake_case_(_UpperCamelCase				, _UpperCamelCase				, _UpperCamelCase				, _UpperCamelCase = None  )							->			List[str]:



  """simple docstring"""






  with open(_UpperCamelCase				, '''r'''  ) as f:
    _snake_case		=							f.readlines()
  with open(os.path.abspath(os.path.join('''examples'''				, '''nlp_example.py'''  )  )				, '''r'''  ) as f:
    _snake_case		=							f.readlines()
  with open(_UpperCamelCase				, '''r'''  ) as f:
    _snake_case		=							f.readlines()
  if secondary_filename is not None:
    with open(_UpperCamelCase				, '''r'''  ) as f:
      _snake_case		=							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:
    _snake_case		=							clean_lines(get_function_contents_by_name(_UpperCamelCase				, '''main'''  )  )
    _snake_case		=							clean_lines(get_function_contents_by_name(_UpperCamelCase				, '''main'''  )  )
    _snake_case		=							clean_lines(get_function_contents_by_name(_UpperCamelCase				, '''main'''  )  )
    if secondary_filename is not None:
      _snake_case		=							clean_lines(get_function_contents_by_name(_UpperCamelCase				, '''main'''  )  )
  else:
    _snake_case		=							clean_lines(get_function_contents_by_name(_UpperCamelCase				, '''training_function'''  )  )
    _snake_case		=							clean_lines(get_function_contents_by_name(_UpperCamelCase				, '''training_function'''  )  )
    _snake_case		=							clean_lines(get_function_contents_by_name(_UpperCamelCase				, '''training_function'''  )  )
    if secondary_filename is not None:
      _snake_case		=							clean_lines(
          get_function_contents_by_name(_UpperCamelCase				, '''training_function'''  )  )

  _snake_case		=							'''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
  _snake_case		=							[]
  _snake_case		=							[]  # We keep track of the idxs just in case it's a repeated statement
  _snake_case		=							iter(_UpperCamelCase  )
  for i in range(len(_UpperCamelCase  ) - 1  ):
    if i not in passed_idxs:
      _snake_case		=							next(_UpperCamelCase  )
      if (line not in full_file_func) and (line.lstrip() != _dl_line):
        if "TESTING_MOCKED_DATALOADERS" not in line:
          new_feature_code.append(_UpperCamelCase  )
          passed_idxs.append(_UpperCamelCase  )
        else:
          # Skip over the `config['num_epochs'] = 2` statement
          _snake_case		=							next(_UpperCamelCase  )

    # Extract out just the new parts from the full_file_training_func
  _snake_case		=							[]
  _snake_case		=							[]  # We keep track of the idxs just in case it's a repeated statement
  for i, line in enumerate(_UpperCamelCase  ):
    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(_UpperCamelCase  )
          passed_idxs.append(_UpperCamelCase  )

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

  return diff_from_example




import numpy as np



def    snake_case_(_UpperCamelCase  )							->			Any:



  """simple docstring"""






  _snake_case		=							np.exp(_UpperCamelCase  )

  # Add up the all the exponentials
  _snake_case		=							np.sum(_UpperCamelCase  )

  # Divide every exponent by the sum of all exponents
  _snake_case		=							exponent_vector / sum_of_exponents

  return softmax_vector


if __name__ == "__main__":
 print(softmax((0,)))

