code: 
  
  
  """simple docstring"""
  
  
  
  
  from __future__ import annotations
  
  from collections import deque
  from enum import Enum
  from math import atana, degrees
  from sys import maxsize
  
  
  
  
  
  class __snake_case		(					_SCREAMING_SNAKE_CASE      ):
  
  
  
  
  
  
  
  			"""simple docstring"""
  
  
  
  
  			lowerCAmelCase_				:   Dict     	=			1
  			lowerCAmelCase_				:   Optional[int]     	=			2
  			lowerCAmelCase_				:   Dict     	=			3
  
  
  
  
  			def __repr__(		self							:int       ):
  										return f'{self.__class__.__name__}.{self.name}'
  
  
  
  
  
  
  def 						__a      (  a,		a,		a					):
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  
  							_a          =				point
  							return degrees(atana(y - miny,		x - minx					)					)
  
  
  
  def 						__a      (  a,		a,		a					):
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  
  							_a          =				starting
  							_a          =				via
  							_a          =				target
  							_a          =				degrees(atana(ya - ya,		xa - xa					)					)
  							via_angle %= 3_6_0
  							_a          =				degrees(atana(ya - ya,		xa - xa					)					)
  							target_angle %= 3_6_0
  							# t-
  							#  \ \
  							#   \ v
  							#    \|
  							#     s
  							# via_angle is always lower than target_angle, if direction is left.
  							# If they are same, it means they are on a same line of convex hull.
  							if target_angle > via_angle:
  														return Direction.left
  							elif target_angle == via_angle:
  														return Direction.straight
  							else:
  														return Direction.right
  
  
  
  def 						__a      (  a					):
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  
  							if len(UpperCamelCase__					) <= 2:
  														# There is no convex hull
  														raise ValueError("graham_scan: argument must contain more than 3 points."					)
  							if len(UpperCamelCase__					) == 3:
  														return points
  							# find the lowest and the most left point
  							_a          =				0
  							_a          =				maxsize, maxsize
  							for i, point in enumerate(UpperCamelCase__					):
  														_a          =				point[0]
  														_a          =				point[1]
  														if y < miny:
  																					_a          =				y
  																					_a          =				x
  																					_a          =				i
  														if y == miny and x < minx:
  																					_a          =				x
  																					_a          =				i
  
      # remove the lowest and the most left point from points for preparing for sort
  							points.pop(UpperCamelCase__					)
  
  							_a          =				sorted(UpperCamelCase__,		key=lambda a					: angle_comparer(UpperCamelCase__,		UpperCamelCase__,		UpperCamelCase__					)					)
  							# This insert actually costs complexity,
  							# and you should instead add (minx, miny) into stack later.
  							# I'm using insert just for easy understanding.
  							sorted_points.insert(0,		(minx, miny)					)
  
  							_a          =				deque()
  							stack.append(sorted_points[0]					)
  							stack.append(sorted_points[1]					)
  							stack.append(sorted_points[2]					)
  							# In any ways, the first 3 points line are towards left.
  							# Because we sort them the angle from minx, miny.
  							_a          =				Direction.left
  
  							for i in range(3,		len(UpperCamelCase__					)					):
  														while True:
  																					_a          =				stack[-2]
  																					_a          =				stack[-1]
  																					_a          =				sorted_points[i]
  																					_a          =				check_direction(UpperCamelCase__,		UpperCamelCase__,		UpperCamelCase__					)
  
  																					if next_direction == Direction.left:
  																												_a          =				Direction.left
  																												break
  																					if next_direction == Direction.straight:
  																												if current_direction == Direction.left:
  																																			# We keep current_direction as left.
  																																			# Because if the straight line keeps as straight,
  																																			# we want to know if this straight line is towards left.
  																																			break
  																												elif current_direction == Direction.right:
  																																			# If the straight line is towards right,
  																																			# every previous points on those straigh line is not convex hull.
  																																			stack.pop()
  																					if next_direction == Direction.right:
  																												stack.pop()
  														stack.append(sorted_points[i]					)
  							return list(UpperCamelCase__					)
  
style_context: 
  
  
  """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 						__a      (  a,		a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         if name != "training_function" and name != "main":
                raise ValueError(F'Incorrect function name passed: {name}, choose either \'main\' or \'training_function\''					)
         _a   , _a          =				[], False
         for line in lines:
                if not found_start and F'def {name}' in line:
                       _a          =				True
                       good_lines.append(a					)
                       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(a					)
  
  
  
  def 						__a      (  a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         return [line for line in lines if not line.lstrip().startswith("#"					) and line != "\n"]
  
  
  
  def 						__a      (  a,		a,		a,		a = None					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         with open(a,		"r"					) as f:
                _a          =				f.readlines()
         with open(os.path.abspath(os.path.join("examples",		"nlp_example.py"					)					),		"r"					) as f:
                _a          =				f.readlines()
         with open(a,		"r"					) as f:
                _a          =				f.readlines()
         if secondary_filename is not None:
                with open(a,		"r"					) as f:
                       _a          =				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:
                _a          =				clean_lines(get_function_contents_by_name(a,		"main"					)					)
                _a          =				clean_lines(get_function_contents_by_name(a,		"main"					)					)
                _a          =				clean_lines(get_function_contents_by_name(a,		"main"					)					)
                if secondary_filename is not None:
                       _a          =				clean_lines(get_function_contents_by_name(a,		"main"					)					)
         else:
                _a          =				clean_lines(get_function_contents_by_name(a,		"training_function"					)					)
                _a          =				clean_lines(get_function_contents_by_name(a,		"training_function"					)					)
                _a          =				clean_lines(get_function_contents_by_name(a,		"training_function"					)					)
                if secondary_filename is not None:
                       _a          =				clean_lines(
                           get_function_contents_by_name(a,		"training_function"					)					)
  
         _a          =				"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
         _a          =				[]
         _a          =				[]  # We keep track of the idxs just in case it's a repeated statement
         _a          =				iter(a					)
         for i in range(len(a					) - 1					):
                if i not in passed_idxs:
                       _a          =				next(a					)
                       if (line not in full_file_func) and (line.lstrip() != _dl_line):
                              if "TESTING_MOCKED_DATALOADERS" not in line:
                                     new_feature_code.append(a					)
                                     passed_idxs.append(a					)
                              else:
                                     # Skip over the `config['num_epochs'] = 2` statement
                                     _a          =				next(a					)
  
      # Extract out just the new parts from the full_file_training_func
         _a          =				[]
         _a          =				[]  # We keep track of the idxs just in case it's a repeated statement
         for i, line in enumerate(a					):
                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(a					)
                                     passed_idxs.append(a					)
  
      # Finally, get the overall diff
         _a          =				[line for line in new_feature_code if line not in new_full_example_parts]
         if secondary_filename is not None:
                _a          =				[line for line in full_file_contents if line not in secondary_file_func]
                _a          =				[line for line in diff_from_example if line not in diff_from_two]
  
         return diff_from_example
  