


"""simple docstring"""







from __future__ import annotations

from collections.abc import Iterable






class  __A							:






 """simple docstring"""




 def __init__(						self					,       __A					,       __A		)   ->	Optional[int]:
     a						, a											=float(__A		), float(__A		)


 def __eq__(						self					,       __A		)   ->	Optional[Any]:
     return self.x == other.x and self.y == other.y


 def __ne__(						self					,       __A		)   ->	Optional[int]:
     return not self == other


 def __gt__(						self					,       __A		)   ->	List[str]:
     if self.x > other.x:
         return True
     elif self.x == other.x:
         return self.y > other.y
     return False


 def __lt__(						self					,       __A		)   ->	Dict:
     return not self > other


 def __ge__(						self					,       __A		)   ->	Union[str, Any]:
     if self.x > other.x:
         return True
     elif self.x == other.x:
         return self.y >= other.y
     return False


 def __le__(						self					,       __A		)   ->	int:
     if self.x < other.x:
         return True
     elif self.x == other.x:
         return self.y <= other.y
     return False


 def __repr__(						self		)   ->	List[Any]:
     return f'''({self.x}, {self.y})'''





 def __hash__(						self		)   ->	str:
     return hash(self.x		)

def _A		(		lowercase			,       ):







    """simple docstring"""
    a											=[]
    if list_of_tuples:
        for p in list_of_tuples:
            if isinstance(lowercase			,       lowercase						):
                points.append(lowercase						)
            else:
                try:
                    points.append(Point(p[0]			,       p[1]						)						)
                except (IndexError, TypeError):
                    print(
                        f'''Ignoring deformed point {p}. All points'''
                        ''' must have at least 2 coordinates.'''						)
    return points
def _A		(		lowercase						):







    """simple docstring"""

    if not hasattr(lowercase			,       '''__iter__'''						):
        a											=f'''Expecting an iterable object but got an non-iterable type {points}'''
        raise ValueError(lowercase						)

    if not points:
        a											=f'''Expecting a list of points but got {points}'''
        raise ValueError(lowercase						)

    return _construct_points(lowercase						)
def _A		(		lowercase			,       lowercase			,       lowercase						):







    """simple docstring"""
    a											=(a.x * b.y + b.x * c.y + c.x * a.y) - (a.y * b.x + b.y * c.x + c.y * a.x)
    return det
def _A		(		lowercase						):







    """simple docstring"""
    a											=sorted(_validate_input(lowercase						)						)
    a											=len(lowercase						)
    a											=set()

    for i in range(n - 1						):
        for j in range(i + 1			,       lowercase						):
            a											=a											=False
            a											=True
            for k in range(lowercase						):
                if k != i and k != j:
                    a											=_det(points[i]			,       points[j]			,       points[k]						)

                    if det_k > 0:
                        a											=True
                    elif det_k < 0:
                        a											=True
                    else:
                        # point[i], point[j], point[k] all lie on a straight line
                        # if point[k] is to the left of point[i] or it's to the
                        # right of point[j], then point[i], point[j] cannot be
                        # part of the convex hull of A
                        if points[k] < points[i] or points[k] > points[j]:
                            a											=False
                            break

                if points_left_of_ij and points_right_of_ij:
                    a											=False
                    break

            if ij_part_of_convex_hull:
                convex_set.update([points[i], points[j]]						)

    return sorted(lowercase						)
def _A		(		lowercase						):







    """simple docstring"""
    a											=sorted(_validate_input(lowercase						)						)
    a											=len(lowercase						)

    # divide all the points into an upper hull and a lower hull
    # the left most point and the right most point are definitely
    # members of the convex hull by definition.
    # use these two anchors to divide all the points into two hulls,
    # an upper hull and a lower hull.

    # all points to the left (above) the line joining the extreme points belong to the
    # upper hull
    # all points to the right (below) the line joining the extreme points below to the
    # lower hull
    # ignore all points on the line joining the extreme points since they cannot be
    # part of the convex hull

    a											=points[0]
    a											=points[n - 1]

    a											={left_most_point, right_most_point}
    a											=[]
    a											=[]

    for i in range(1			,       n - 1						):
        a											=_det(lowercase			,       lowercase			,       points[i]						)

        if det > 0:
            upper_hull.append(points[i]						)
        elif det < 0:
            lower_hull.append(points[i]						)

    _construct_hull(lowercase			,       lowercase			,       lowercase			,       lowercase						)
    _construct_hull(lowercase			,       lowercase			,       lowercase			,       lowercase						)

    return sorted(lowercase						)
def _A		(		lowercase			,       lowercase			,       lowercase			,       lowercase						):







    """simple docstring"""
    if points:
        a											=None
        a											=float('''-inf'''						)
        a											=[]

        for p in points:
            a											=_det(lowercase			,       lowercase			,       lowercase						)

            if det > 0:
                candidate_points.append(lowercase						)

                if det > extreme_point_distance:
                    a											=det
                    a											=p

        if extreme_point:
            _construct_hull(lowercase			,       lowercase			,       lowercase			,       lowercase						)
            convex_set.add(lowercase						)
            _construct_hull(lowercase			,       lowercase			,       lowercase			,       lowercase						)
def _A		(		lowercase						):







    """simple docstring"""
    a											=sorted(_validate_input(lowercase						)						)
    a											=len(lowercase						)

    a											=points[:2]
    for i in range(2			,       lowercase						):
        a											=_det(convex_hull[1]			,       convex_hull[0]			,       points[i]						)
        if det > 0:
            convex_hull.insert(0			,       points[i]						)
            break
        elif det < 0:
            convex_hull.append(points[i]						)
            break
        else:
            a											=points[i]
    i += 1

    for j in range(lowercase			,       lowercase						):
        if (
            _det(convex_hull[0]			,       convex_hull[-1]			,       points[j]						) > 0
            and _det(convex_hull[-1]			,       convex_hull[0]			,       points[1]						) < 0
        ):
            # The point lies within the convex hull
            continue

        convex_hull.insert(0			,       points[j]						)
        convex_hull.append(points[j]						)
        while _det(convex_hull[0]			,       convex_hull[1]			,       convex_hull[2]						) >= 0:
            del convex_hull[1]
        while _det(convex_hull[-1]			,       convex_hull[-2]			,       convex_hull[-3]						) <= 0:
            del convex_hull[-2]

    # `convex_hull` is contains the convex hull in circular order
    return sorted(convex_hull[1:] if len(lowercase						) > 3 else convex_hull						)
def _A		(		):







    """simple docstring"""
    a											=[
        (0, 3),
        (2, 2),
        (1, 1),
        (2, 1),
        (3, 0),
        (0, 0),
        (3, 3),
        (2, -1),
        (2, -4),
        (1, -3),
    ]
    # the convex set of points is
    # [(0, 0), (0, 3), (1, -3), (2, -4), (3, 0), (3, 3)]
    a											=convex_hull_bf(lowercase						)

    a											=convex_hull_recursive(lowercase						)
    assert results_bf == results_recursive

    a											=convex_hull_melkman(lowercase						)
    assert results_bf == results_melkman

    print(lowercase						)


if __name__ == "__main__":
       main()



"""simple docstring"""







import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin






class  __A							(			unittest.TestCase,       _SCREAMING_SNAKE_CASE     ):






 """simple docstring"""




 def  SCREAMING_SNAKE_CASE				(						self		)   ->	str:
     a											=load_tool('''document-question-answering'''		)
     self.tool.setup()
     a											=load_tool('''document-question-answering'''					,       remote=__A		)


 def  SCREAMING_SNAKE_CASE				(						self		)   ->	Optional[Any]:
     a											=load_dataset('''hf-internal-testing/example-documents'''					,       split='''test'''		)
     a											=dataset[0]['''image''']

     a											=self.tool(__A					,       '''When is the coffee break?'''		)
     self.assertEqual(__A					,       '''11-14 to 11:39 a.m.'''		)


 def  SCREAMING_SNAKE_CASE				(						self		)   ->	Optional[int]:
     a											=load_dataset('''hf-internal-testing/example-documents'''					,       split='''test'''		)
     a											=dataset[0]['''image''']

     a											=self.remote_tool(__A					,       '''When is the coffee break?'''		)
     self.assertEqual(__A					,       '''11-14 to 11:39 a.m.'''		)


 def  SCREAMING_SNAKE_CASE				(						self		)   ->	Union[str, Any]:
     a											=load_dataset('''hf-internal-testing/example-documents'''					,       split='''test'''		)
     a											=dataset[0]['''image''']

     self.tool(document=__A					,       question='''When is the coffee break?'''		)





 def  SCREAMING_SNAKE_CASE				(						self		)   ->	Optional[int]:
     a											=load_dataset('''hf-internal-testing/example-documents'''					,       split='''test'''		)
     a											=dataset[0]['''image''']

     a											=self.remote_tool(document=__A					,       question='''When is the coffee break?'''		)
     self.assertEqual(__A					,       '''11-14 to 11:39 a.m.'''		)