


# 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						( __lowerCamelCase			,  __lowerCamelCase							)		->Tuple:


 '''simple docstring'''







 if name != "training_function" and name != "main":
  raise ValueError(f'''Incorrect function name passed: {name}, choose either \'main\' or \'training_function\''''							)
 snake_case :			Union[str, Any]							=   [], False
 for line in lines:
  if not found_start and f'''def {name}''' in line:
   snake_case :			Union[str, Any]							=   True
   good_lines.append(__snake_case							)
   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(__snake_case							)






def  _UpperCAmelCase						( __lowerCamelCase							)		->List[Any]:


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






def  _UpperCAmelCase						( __lowerCamelCase			,  __lowerCamelCase			,  __lowerCamelCase			,  __lowerCamelCase = None							)		->Tuple:


 '''simple docstring'''







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

 snake_case :			int							=   "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 :			int							=   []
 snake_case :			Optional[Any]							=   []  # We keep track of the idxs just in case it's a repeated statement
 snake_case :			Tuple							=   iter(__snake_case							)
 for i in range(len(__snake_case							) - 1							):
  if i not in passed_idxs:
   snake_case :			List[str]							=   next(__snake_case							)
   if (line not in full_file_func) and (line.lstrip() != _dl_line):
    if "TESTING_MOCKED_DATALOADERS" not in line:
     new_feature_code.append(__snake_case							)
     passed_idxs.append(__snake_case							)
    else:
     # Skip over the `config['num_epochs'] = 2` statement
     snake_case :			Optional[Any]							=   next(__snake_case							)

    # Extract out just the new parts from the full_file_training_func
 snake_case :			List[Any]							=   []
 snake_case :			Any							=   []  # We keep track of the idxs just in case it's a repeated statement
 for i, line in enumerate(__snake_case							):
  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(__snake_case							)
     passed_idxs.append(__snake_case							)

    # Finally, get the overall diff
 snake_case :			Union[str, Any]							=   [line for line in new_feature_code if line not in new_full_example_parts]
 if secondary_filename is not None:
  snake_case :			Tuple							=   [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











import heapq







def  _snake_case			(							__snake_case       ,	__snake_case       ,	__snake_case     )  ->  str:






      '''simple docstring'''







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


__lowerCamelCase								=      {
    '''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								=      {
    '''B''': [['''C''', 1]],
    '''C''': [['''D''', 1]],
    '''D''': [['''F''', 1]],
    '''E''': [['''B''', 1], ['''F''', 3]],
    '''F''': [],
}
__lowerCamelCase								=      {
    '''B''': [['''C''', 1]],
    '''C''': [['''D''', 1]],
    '''D''': [['''F''', 1]],
    '''E''': [['''B''', 1], ['''G''', 2]],
    '''F''': [],
    '''G''': [['''F''', 1]],
}

__lowerCamelCase								=      dijkstra(G, '''E''', '''C''')
print(short_distance)  # E -- 3 --> F -- 3 --> C == 6

__lowerCamelCase								=      dijkstra(Ga, '''E''', '''F''')
print(short_distance)  # E -- 3 --> F == 3

__lowerCamelCase								=      dijkstra(Ga, '''E''', '''F''')
print(short_distance)  # E -- 2 --> G -- 1 --> F == 3

if __name__ == "__main__":
   import doctest

   doctest.testmod()
