


"""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__					)




"""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
