



'''simple docstring'''






import os
from typing import List


def 			snake_case_					( _lowerCAmelCase  :						str       ,				_lowerCAmelCase  :						Any  )				->       Optional[Any]:
       if name != "training_function" and name != "main":
              raise ValueError(f"""Incorrect function name passed: {name}, choose either 'main' or 'training_function'"""  )
       UpperCAmelCase							,		UpperCAmelCase			:	int										=		[], False
       for line in lines:
              if not found_start and f"""def {name}""" in line:
                     UpperCAmelCase			:	Optional[int]										=		True
                     good_lines.append(_lowerCAmelCase  )
                     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(_lowerCAmelCase  )


def 			snake_case_					( _lowerCAmelCase  :						Optional[int]  )				->       Tuple:
       return [line for line in lines if not line.lstrip().startswith('''#'''  ) and line != "\n"]




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

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

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

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

       return diff_from_example










'''simple docstring'''






import importlib.metadata
import subprocess
import sys


def 			snake_case_					( _lowerCAmelCase  :						bool = False  )				->       str:
							UpperCAmelCase			:	List[str]										=		False
							if "IPython" in sys.modules:
														UpperCAmelCase			:	Optional[Any]										=		'''google.colab''' in str(sys.modules['''IPython'''].get_ipython()  )

							if in_colab:
														if upgrade:
																					UpperCAmelCase			:	List[Any]										=		['''pip''', '''install''', '''-U''', '''torch''']
																					subprocess.run(_lowerCAmelCase       ,				check=_lowerCAmelCase  )
														# get the current version of torch
														UpperCAmelCase			:	Dict										=		importlib.metadata.version('''torch'''  )
														UpperCAmelCase			:	int										=		torch_version[: torch_version.rindex('''.'''  )]
														UpperCAmelCase			:	Any										=		f"""https://storage.googleapis.com/tpu-pytorch/wheels/colab/torch_xla-{torch_version_trunc}-cp37-cp37m-linux_x86_64.whl"""
														UpperCAmelCase			:	List[str]										=		['''pip''', '''install''', xla_wheel]
														subprocess.run(_lowerCAmelCase       ,				check=_lowerCAmelCase  )
							else:
														raise RuntimeError('''`install_xla` utility works only on google colab.'''  )





