


import os
from typing import List


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






def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase		,     _UpperCAmelCase		,     _UpperCAmelCase		,     _UpperCAmelCase = None				)    ->  List[str]:
						with open(_UpperCAmelCase		,     '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(_UpperCAmelCase		,     'r'				) as f:
												_a     =			f.readlines()
						if secondary_filename is not None:
												with open(_UpperCAmelCase		,     '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(_UpperCAmelCase		,     'main'				)				)
												_a     =			clean_lines(get_function_contents_by_name(_UpperCAmelCase		,     'main'				)				)
												_a     =			clean_lines(get_function_contents_by_name(_UpperCAmelCase		,     'main'				)				)
												if secondary_filename is not None:
																		_a     =			clean_lines(get_function_contents_by_name(_UpperCAmelCase		,     'main'				)				)
						else:
												_a     =			clean_lines(get_function_contents_by_name(_UpperCAmelCase		,     'training_function'				)				)
												_a     =			clean_lines(get_function_contents_by_name(_UpperCAmelCase		,     'training_function'				)				)
												_a     =			clean_lines(get_function_contents_by_name(_UpperCAmelCase		,     'training_function'				)				)
												if secondary_filename is not None:
																		_a     =			clean_lines(
																		    get_function_contents_by_name(_UpperCAmelCase		,     '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(_UpperCAmelCase				)
						for i in range(len(_UpperCAmelCase				) - 1				):
												if i not in passed_idxs:
																		_a     =			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
																														_a     =			next(_UpperCAmelCase				)

    # 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(_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
						_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 .chunk_utils import chunk_layer
from .data_transforms import make_atomaa_masks
from .feats import atomaa_to_atomaa, frames_and_literature_positions_to_atomaa_pos, torsion_angles_to_frames
from .loss import compute_predicted_aligned_error, compute_tm
from .protein import Protein as OFProtein
from .protein import to_pdb
from .rigid_utils import Rigid, Rotation
from .tensor_utils import dict_multimap, flatten_final_dims, permute_final_dims


