



# 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  _snake_case			(							__snake_case       ,	__snake_case     )  ->  Tuple:






      '''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_	:						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  _snake_case			(							__snake_case     )  ->  List[Any]:






      '''simple docstring'''







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







def  _snake_case			(							__snake_case       ,	__snake_case       ,	__snake_case       ,	__snake_case = None     )  ->  Tuple:






      '''simple docstring'''







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

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

    # Extract out just the new parts from the full_file_training_func
      UpperCAmelCase_	:						List[Any]					   =		[]
      UpperCAmelCase_	:						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
      UpperCAmelCase_	:						Union[str, Any]					   =		[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_	:						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()
