




"""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 					UpperCamelCase__       (						lowercase__					:       List[str]    ,       lowercase__					:       str				):
		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						:  List[str]        =			[], False
		for line in lines:
				if not found_start and F'''def {name}''' in line:
						snake_case						:  Any        =			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 					UpperCamelCase__       (						lowercase__					:       List[str]				):
		return [line for line in lines if not line.lstrip().startswith("#"				) and line != "\n"]



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

		snake_case						:  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
		snake_case						:  List[str]        =			[]
		snake_case						:  Union[str, Any]        =			[]  # We keep track of the idxs just in case it's a repeated statement
		snake_case						:  Union[str, Any]        =			iter(lowercase__				)
		for i in range(len(lowercase__				) - 1				):
				if i not in passed_idxs:
						snake_case						:  Dict        =			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						:  Optional[Any]        =			next(lowercase__				)

    # Extract out just the new parts from the full_file_training_func
		snake_case						:  Optional[Any]        =			[]
		snake_case						:  int        =			[]  # 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						:  Dict        =			[line for line in new_feature_code if line not in new_full_example_parts]
		if secondary_filename is not None:
				snake_case						:  Optional[int]        =			[line for line in full_file_contents if line not in secondary_file_func]
				snake_case						:  Optional[Any]        =			[line for line in diff_from_example if line not in diff_from_two]

		return diff_from_example







"""simple docstring"""

def 					UpperCamelCase__       (						lowercase__					:       set    ,       lowercase__					:       set				):
		assert isinstance(lowercase__    ,       lowercase__				), F'''The input value of [set_a={set_a}] is not a set'''
		assert isinstance(lowercase__    ,       lowercase__				), F'''The input value of [set_b={set_b}] is not a set'''

		return {a + b for a in set_a for b in set_b}


if __name__ == "__main__":
							from doctest import testmod

							testmod()

