



from __future__ import annotations

from collections import deque
from enum import Enum
from math import atana, degrees
from sys import maxsize

class    _SCREAMING_SNAKE_CASE						(UpperCamelCase			):
     lowerCAmelCase       =      1
     lowerCAmelCase       =      2
     lowerCAmelCase       =      3





     def __repr__(							self			:				Tuple					)->int:
      return F"""{self.__class__.__name__}.{self.name}"""






def 						_lowerCAmelCase    (					__lowerCamelCase :  tuple[int, int]		,						__lowerCamelCase :  int		,						__lowerCamelCase :  int  ):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							:     Tuple							=						point
 return degrees(atana(y - miny		,						x - minx  )  )






def 						_lowerCAmelCase    (					__lowerCamelCase :  tuple[int, int]		,						__lowerCamelCase :  tuple[int, int]		,						__lowerCamelCase :  tuple[int, int]  ):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							:     List[str]							=						starting
 __SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							:     List[Any]							=						via
 __SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							:     str							=						target
 __SCREAMING_SNAKE_CASE							:     Any							=						degrees(atana(ya - ya		,						xa - xa  )  )
 via_angle %= 360
 __SCREAMING_SNAKE_CASE							:     List[str]							=						degrees(atana(ya - ya		,						xa - xa  )  )
 target_angle %= 360
 # 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 						_lowerCAmelCase    (					__lowerCamelCase :  list[tuple[int, int]]  ):



 """simple docstring"""





 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
 __SCREAMING_SNAKE_CASE							:     List[str]							=						0
 __SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE							:     List[Any]							=						maxsize, maxsize
 for i, point in enumerate(__lowerCamelCase  ):
  __SCREAMING_SNAKE_CASE							:     Any							=						point[0]
  __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						point[1]
  if y < miny:
   __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						y
   __SCREAMING_SNAKE_CASE							:     Dict							=						x
   __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						i
  if y == miny and x < minx:
   __SCREAMING_SNAKE_CASE							:     List[Any]							=						x
   __SCREAMING_SNAKE_CASE							:     Dict							=						i

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

 __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						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)  )

 __SCREAMING_SNAKE_CASE							:     deque[tuple[int, int]]							=						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.
 __SCREAMING_SNAKE_CASE							:     List[Any]							=						Direction.left

 for i in range(3		,						len(__lowerCamelCase  )  ):
  while True:
   __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						stack[-2]
   __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						stack[-1]
   __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						sorted_points[i]
   __SCREAMING_SNAKE_CASE							:     str							=						check_direction(__lowerCamelCase		,						__lowerCamelCase		,						__lowerCamelCase  )

   if next_direction == Direction.left:
    __SCREAMING_SNAKE_CASE							:     Optional[int]							=						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  )












from typing import Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


_lowerCAmelCase    : Any		= [
    "AutomaticSpeechRecognition",
    "AudioClassification",
    "ImageClassification",
    "LanguageModeling",
    "QuestionAnsweringExtractive",
    "Summarization",
    "TaskTemplate",
    "TextClassification",
]

_lowerCAmelCase    : Dict		= get_logger(__name__)


_lowerCAmelCase    : Optional[Any]		= {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}



def     lowerCAmelCase		(		_lowerCAmelCase				: dict						):




 """simple docstring"""







 UpperCAmelCase__							=    task_template_dict.get("task"						)
 if task_name is None:
  logger.warning(F'''Couldn\'t find template for task \'{task_name}\'. Available templates: {list(_lowerCAmelCase						)}'''						)
  return None
 UpperCAmelCase__							=    NAMEaTEMPLATE.get(_lowerCAmelCase						)
 return template.from_dict(_lowerCAmelCase						)





