

# 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       ,			_UpperCAmelCase					):
						if name != "training_function" and name != "main":
												raise ValueError(f"Incorrect function name passed: {name}, choose either 'main' or 'training_function'"					)
						SCREAMING_SNAKE_CASE_	,					SCREAMING_SNAKE_CASE_:				Optional[int]							= [], False
						for line in lines:
												if not found_start and f"def {name}" in line:
																		SCREAMING_SNAKE_CASE_:				Optional[Any]							= 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					):
						return [line for line in lines if not line.lstrip().startswith("#"					) and line != "\n"]







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

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

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

						return diff_from_example









import heapq







def     A_   (					_UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase					):
						SCREAMING_SNAKE_CASE_:				List[Any]							= [(0, start)]  # cost from start node,end node
						SCREAMING_SNAKE_CASE_:				Any							= set()
						while heap:
												((SCREAMING_SNAKE_CASE_)	,					(SCREAMING_SNAKE_CASE_)):				Tuple							= heapq.heappop(_UpperCAmelCase					)
												if u in visited:
																		continue
												visited.add(_UpperCAmelCase					)
												if u == end:
																		return cost
												for v, c in graph[u]:
																		if v in visited:
																								continue
																		SCREAMING_SNAKE_CASE_:				List[str]							= cost + c
																		heapq.heappush(_UpperCAmelCase       ,			(next_item, v)					)
						return -1


lowerCAmelCase							:						Optional[Any]     			=		{
    """A""": [["""B""", 2], ["""C""", 5]],
    """B""": [["""A""", 2], ["""D""", 3], ["""E""", 1], ["""F""", 1]],
    """C""": [["""A""", 5], ["""F""", 3]],
    """D""": [["""B""", 3]],
    """E""": [["""B""", 4], ["""F""", 3]],
    """F""": [["""C""", 3], ["""E""", 3]],
}
lowerCAmelCase							:						Tuple     			=		{
    """B""": [["""C""", 1]],
    """C""": [["""D""", 1]],
    """D""": [["""F""", 1]],
    """E""": [["""B""", 1], ["""F""", 3]],
    """F""": [],
}
lowerCAmelCase							:						str     			=		{
    """B""": [["""C""", 1]],
    """C""": [["""D""", 1]],
    """D""": [["""F""", 1]],
    """E""": [["""B""", 1], ["""G""", 2]],
    """F""": [],
    """G""": [["""F""", 1]],
}

lowerCAmelCase							:						Union[str, Any]     			=		dijkstra(G, """E""", """C""")
print(short_distance)  # E -- 3 --> F -- 3 --> C == 6

lowerCAmelCase							:						Tuple     			=		dijkstra(Ga, """E""", """F""")
print(short_distance)  # E -- 3 --> F == 3

lowerCAmelCase							:						Union[str, Any]     			=		dijkstra(Ga, """E""", """F""")
print(short_distance)  # E -- 2 --> G -- 1 --> F == 3

if __name__ == "__main__":
						import doctest

						doctest.testmod()






