

'''simple docstring'''

import os
from typing import List

def 			__magic_name__				(       A    ,      A							)	->						Any:
	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(lowercase_							)
			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(lowercase_							)

def 			__magic_name__				(       A							)	->						str:
	return [line for line in lines if not line.lstrip().startswith('#'							) and line != "\n"]


def 			__magic_name__				(       A    ,      A    ,      A    ,      A = None							)	->						List[str]:
	with open(lowercase_    ,      '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(lowercase_    ,      'r'							) as f:
		snake_case							       = f.readlines()
	if secondary_filename is not None:
		with open(lowercase_    ,      '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(lowercase_    ,      'main'							)							)
		snake_case							       = clean_lines(get_function_contents_by_name(lowercase_    ,      'main'							)							)
		snake_case							       = clean_lines(get_function_contents_by_name(lowercase_    ,      'main'							)							)
		if secondary_filename is not None:
			snake_case							       = clean_lines(get_function_contents_by_name(lowercase_    ,      'main'							)							)
	else:
		snake_case							       = clean_lines(get_function_contents_by_name(lowercase_    ,      'training_function'							)							)
		snake_case							       = clean_lines(get_function_contents_by_name(lowercase_    ,      'training_function'							)							)
		snake_case							       = clean_lines(get_function_contents_by_name(lowercase_    ,      'training_function'							)							)
		if secondary_filename is not None:
			snake_case							       = clean_lines(
			    get_function_contents_by_name(lowercase_    ,      '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(lowercase_							)
	for i in range(len(lowercase_							) - 1							):
		if i not in passed_idxs:
			snake_case							       = next(lowercase_							)
			if (line not in full_file_func) and (line.lstrip() != _dl_line):
				if "TESTING_MOCKED_DATALOADERS" not in line:
					new_feature_code.append(lowercase_							)
					passed_idxs.append(lowercase_							)
				else:
					# Skip over the `config['num_epochs'] = 2` statement
					snake_case							       = next(lowercase_							)

    # 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(lowercase_							):
		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(lowercase_							)
					passed_idxs.append(lowercase_							)

    # 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










"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


__SCREAMING_SNAKE_CASE     :  Union[str, Any]										=					logging.get_logger(__name__)


class 							lowerCamelCase_(      A__			):





					'''simple docstring'''



					def __init__(			self ,				*lowerCamelCase__ ,				**lowerCamelCase__      ):
									warnings.warn(
									    '''The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
									    ''' Please use LayoutLMv3ImageProcessor instead.''' ,				lowerCamelCase__ ,				)
									super().__init__(*lowerCamelCase__ ,				**lowerCamelCase__      )
