"""simple docstring"""





# 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     a_					(				_lowerCAmelCase  :			List[Any]       ,			_lowerCAmelCase  :			List[str]					):





       '''simple docstring'''

       if name != "training_function" and name != "main":
              raise ValueError(f"""Incorrect function name passed: {name}, choose either \'main\' or \'training_function\'"""					)
       lowercase__      :		Tuple          =     [], False
       for line in lines:
              if not found_start and f"""def {name}""" in line:
                     lowercase__      :		Optional[Any]          =     True
                     good_lines.append(_SCREAMING_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(_SCREAMING_SNAKE_CASE					)





def     a_					(				_lowerCAmelCase  :			List[str]					):





       '''simple docstring'''

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






def     a_					(				_lowerCAmelCase  :			List[Any]       ,			_lowerCAmelCase  :			List[Any]       ,			_lowerCAmelCase  :			str       ,			_lowerCAmelCase  :			Tuple = None					):





       '''simple docstring'''

       with open(_SCREAMING_SNAKE_CASE       ,			'r'					) as f:
              lowercase__      :		List[str]          =     f.readlines()
       with open(os.path.abspath(os.path.join('examples'       ,			'nlp_example.py'					)					)       ,			'r'					) as f:
              lowercase__      :		Optional[Any]          =     f.readlines()
       with open(_SCREAMING_SNAKE_CASE       ,			'r'					) as f:
              lowercase__      :		Dict          =     f.readlines()
       if secondary_filename is not None:
              with open(_SCREAMING_SNAKE_CASE       ,			'r'					) as f:
                     lowercase__      :		List[Any]          =     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:
              lowercase__      :		Optional[int]          =     clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE       ,			'main'					)					)
              lowercase__      :		Any          =     clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE       ,			'main'					)					)
              lowercase__      :		Optional[int]          =     clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE       ,			'main'					)					)
              if secondary_filename is not None:
                     lowercase__      :		Dict          =     clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE       ,			'main'					)					)
       else:
              lowercase__      :		Any          =     clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE       ,			'training_function'					)					)
              lowercase__      :		Dict          =     clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE       ,			'training_function'					)					)
              lowercase__      :		Tuple          =     clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE       ,			'training_function'					)					)
              if secondary_filename is not None:
                     lowercase__      :		Optional[int]          =     clean_lines(
                         get_function_contents_by_name(_SCREAMING_SNAKE_CASE       ,			'training_function'					)					)

       lowercase__      :		List[str]          =     "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
       lowercase__      :		Tuple          =     []
       lowercase__      :		Union[str, Any]          =     []  # We keep track of the idxs just in case it's a repeated statement
       lowercase__      :		List[str]          =     iter(_SCREAMING_SNAKE_CASE					)
       for i in range(len(_SCREAMING_SNAKE_CASE					) - 1					):
              if i not in passed_idxs:
                     lowercase__      :		Dict          =     next(_SCREAMING_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(_SCREAMING_SNAKE_CASE					)
                                   passed_idxs.append(_SCREAMING_SNAKE_CASE					)
                            else:
                                   # Skip over the `config['num_epochs'] = 2` statement
                                   lowercase__      :		str          =     next(_SCREAMING_SNAKE_CASE					)

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

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

       return diff_from_example


"""simple docstring"""





from ..utils import DummyObject, requires_backends


class 					UpperCAmelCase_     (   metaclass=_a):
      lowerCamelCase__		:   List[str]			  =  ["torch", "transformers", "k_diffusion"]


      def __init__(       self		,      *a		,      **a							)	-> Dict:
             requires_backends(self		,      ['torch', 'transformers', 'k_diffusion']							)


      @classmethod
      def 		_UpperCAmelCase	(       cls		,      *a		,      **a							)	-> Tuple:
             requires_backends(cls		,      ['torch', 'transformers', 'k_diffusion']							)


      @classmethod
      def 		_UpperCAmelCase	(       cls		,      *a		,      **a							)	-> Any:
             requires_backends(cls		,      ['torch', 'transformers', 'k_diffusion']							)

