"""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	(			__UpperCAmelCase    ):




					"""simple docstring"""

					snake_case__       =			1
					snake_case__       =			2
					snake_case__       =			3







					def __repr__(    self       :     int      ):
									return f'''{self.__class__.__name__}.{self.name}'''






def   a_						( lowerCamelCase ,      lowerCamelCase ,      lowerCamelCase	):
				UpperCAmelCase__				,     UpperCAmelCase__					=							point
				return degrees(atana(y - miny ,      x - minx	)	)



def   a_						( lowerCamelCase ,      lowerCamelCase ,      lowerCamelCase	):
				UpperCAmelCase__				,     UpperCAmelCase__					=							starting
				UpperCAmelCase__				,     UpperCAmelCase__					=							via
				UpperCAmelCase__				,     UpperCAmelCase__					=							target
				UpperCAmelCase__					=							degrees(atana(ya - ya ,      xa - xa	)	)
				via_angle %= 3_6_0
				UpperCAmelCase__					=							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_						( lowerCamelCase	):

				if len(lowerCamelCase	) <= 2:
								# There is no convex hull
								raise ValueError('graham_scan: argument must contain more than 3 points.'	)
				if len(lowerCamelCase	) == 3:
								return points
				# find the lowest and the most left point
				UpperCAmelCase__					=							0
				UpperCAmelCase__				,     UpperCAmelCase__					=							maxsize, maxsize
				for i, point in enumerate(lowerCamelCase	):
								UpperCAmelCase__					=							point[0]
								UpperCAmelCase__					=							point[1]
								if y < miny:
												UpperCAmelCase__					=							y
												UpperCAmelCase__					=							x
												UpperCAmelCase__					=							i
								if y == miny and x < minx:
												UpperCAmelCase__					=							x
												UpperCAmelCase__					=							i

    # remove the lowest and the most left point from points for preparing for sort
				points.pop(lowerCamelCase	)

				UpperCAmelCase__					=							sorted(lowerCamelCase ,      key=lambda lowerCamelCase	: angle_comparer(lowerCamelCase ,      lowerCamelCase ,      lowerCamelCase	)	)
				# 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)	)

				UpperCAmelCase__					=							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.
				UpperCAmelCase__					=							Direction.left

				for i in range(3 ,      len(lowerCamelCase	)	):
								while True:
												UpperCAmelCase__					=							stack[-2]
												UpperCAmelCase__					=							stack[-1]
												UpperCAmelCase__					=							sorted_points[i]
												UpperCAmelCase__					=							check_direction(lowerCamelCase ,      lowerCamelCase ,      lowerCamelCase	)

												if next_direction == Direction.left:
																UpperCAmelCase__					=							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(lowerCamelCase	)




"""simple docstring"""






import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


lowerCAmelCase__  :  List[Any]											=     '\nHugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.\n\nIn March 2021, Hugging Face raised $40 million in a Series B funding round.[3]\n\nOn April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]\n'
class     snake_case	(			unittest.TestCase				,   __UpperCAmelCase    ):




					"""simple docstring"""

					def 		__lowerCAmelCase						(    self       :     Tuple      ):
									UpperCAmelCase__					=							load_tool('summarization'      )
									self.tool.setup()
									UpperCAmelCase__					=							load_tool('summarization'   ,remote=lowerCamelCase__      )







					def 		__lowerCAmelCase						(    self       :     Union[str, Any]      ):
									UpperCAmelCase__					=							self.tool(lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'   ,)







					def 		__lowerCAmelCase						(    self       :     Tuple      ):
									UpperCAmelCase__					=							self.remote_tool(lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'   ,)







					def 		__lowerCAmelCase						(    self       :     List[Any]      ):
									UpperCAmelCase__					=							self.tool(text=lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'   ,)







					def 		__lowerCAmelCase						(    self       :     Tuple      ):
									UpperCAmelCase__					=							self.remote_tool(text=lowerCamelCase__      )
									self.assertEqual(
									    lowerCamelCase__   ,'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'   ,)



