



# 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						(				_UpperCAmelCase							: List[str]			,       _UpperCAmelCase							: str						):







		'''simple docstring'''





		if name != "training_function" and name != "main":
				raise ValueError(f'Incorrect function name passed: {name}, choose either \'main\' or \'training_function\''						)
		__UpperCAmelCase							, __UpperCAmelCase   :					Union[str, Any]													=     [], False
		for line in lines:
				if not found_start and f'def {name}' in line:
						__UpperCAmelCase   :					int													=     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 	a						(				_UpperCAmelCase							: List[str]						):







		'''simple docstring'''





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

def 	a						(				_UpperCAmelCase							: str			,       _UpperCAmelCase							: str			,       _UpperCAmelCase							: bool			,       _UpperCAmelCase							: str = None						):







		'''simple docstring'''





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

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

    # Extract out just the new parts from the full_file_training_func
		__UpperCAmelCase   :					str													=     []
		__UpperCAmelCase   :					List[Any]													=     []  # 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
		__UpperCAmelCase   :					int													=     [line for line in new_feature_code if line not in new_full_example_parts]
		if secondary_filename is not None:
				__UpperCAmelCase   :					Tuple													=     [line for line in full_file_contents if line not in secondary_file_func]
				__UpperCAmelCase   :					Union[str, Any]													=     [line for line in diff_from_example if line not in diff_from_two]

		return diff_from_example










def 	a						(				_UpperCAmelCase							: str						):







		'''simple docstring'''





		__UpperCAmelCase   :					Optional[Any]													=     53_81
		for x in s:
				__UpperCAmelCase   :					str													=     ((hash_value << 5) + hash_value) + ord(_UpperCAmelCase						)
		return hash_value & 0xFFFF_FFFF





