"""simple docstring"""






from typing import Dict, Iterable, Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format, to_pil_image
from ...image_utils import (
    IMAGENET_STANDARD_MEAN,
    IMAGENET_STANDARD_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, is_pytesseract_available, is_vision_available, logging, requires_backends


if is_vision_available():
       import PIL

# soft dependency
if is_pytesseract_available():
       import pytesseract

__lowerCAmelCase					: Optional[int]        =logging.get_logger(__name__)


def     UpperCAmelCase__ (       lowerCAmelCase__  :Union[str, Any]      ,	lowerCAmelCase__  :List[str]      ,	lowerCAmelCase__  :Any	)				->					Optional[Any]:
      '''simple docstring'''


      return [
          int(1_0_0_0 * (box[0] / width)	),
          int(1_0_0_0 * (box[1] / height)	),
          int(1_0_0_0 * (box[2] / width)	),
          int(1_0_0_0 * (box[3] / height)	),
      ]


def     UpperCAmelCase__ (       lowerCAmelCase__  :np.ndarray      ,	lowerCAmelCase__  :Optional[str]      ,	lowerCAmelCase__  :Optional[str]	)				->					List[Any]:
      '''simple docstring'''


      lowercase														=			to_pil_image(lowerCAmelCase__	)
      lowercase							,							lowercase														=			pil_image.size
      lowercase														=			pytesseract.image_to_data(lowerCAmelCase__      ,	lang=lowerCAmelCase__      ,	output_type="""dict"""      ,	config=lowerCAmelCase__	)
      lowercase							,							lowercase							,							lowercase							,							lowercase							,							lowercase														=			data["""text"""], data["""left"""], data["""top"""], data["""width"""], data["""height"""]

      # filter empty words and corresponding coordinates
      lowercase														=			[idx for idx, word in enumerate(lowerCAmelCase__	) if not word.strip()]
      lowercase														=			[word for idx, word in enumerate(lowerCAmelCase__	) if idx not in irrelevant_indices]
      lowercase														=			[coord for idx, coord in enumerate(lowerCAmelCase__	) if idx not in irrelevant_indices]
      lowercase														=			[coord for idx, coord in enumerate(lowerCAmelCase__	) if idx not in irrelevant_indices]
      lowercase														=			[coord for idx, coord in enumerate(lowerCAmelCase__	) if idx not in irrelevant_indices]
      lowercase														=			[coord for idx, coord in enumerate(lowerCAmelCase__	) if idx not in irrelevant_indices]

      # turn coordinates into (left, top, left+width, top+height) format
      lowercase														=			[]
      for x, y, w, h in zip(lowerCAmelCase__      ,	lowerCAmelCase__      ,	lowerCAmelCase__      ,	lowerCAmelCase__	):
            lowercase														=			[x, y, x + w, y + h]
            actual_boxes.append(lowerCAmelCase__	)

      # finally, normalize the bounding boxes
      lowercase														=			[]
      for box in actual_boxes:
            normalized_boxes.append(normalize_box(lowerCAmelCase__      ,	lowerCAmelCase__      ,	lowerCAmelCase__	)	)

      assert len(lowerCAmelCase__	) == len(lowerCAmelCase__	), "Not as many words as there are bounding boxes"

      return words, normalized_boxes






class 				_A		( lowerCAmelCase			):
      snake_case__    :     List[str]													=			['pixel_values']

      def __init__(		self	, __lowerCAmelCase = True	, __lowerCAmelCase = None	, __lowerCAmelCase = PILImageResampling.BILINEAR	, __lowerCAmelCase = True	, __lowerCAmelCase = 1 / 255	, __lowerCAmelCase = True	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = True	, __lowerCAmelCase = None	, __lowerCAmelCase = ""	, **__lowerCAmelCase	, ):







            """simple docstring"""



            super().__init__(**__lowerCAmelCase		)
            lowercase														=			size if size is not None else {"""height""": 224, """width""": 224}
            lowercase														=			get_size_dict(__lowerCAmelCase		)

            lowercase														=			do_resize
            lowercase														=			size
            lowercase														=			resample
            lowercase														=			do_rescale
            lowercase														=			rescale_value
            lowercase														=			do_normalize
            lowercase														=			image_mean if image_mean is not None else IMAGENET_STANDARD_MEAN
            lowercase														=			image_std if image_std is not None else IMAGENET_STANDARD_STD
            lowercase														=			apply_ocr
            lowercase														=			ocr_lang
            lowercase														=			tesseract_config

      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase	, __lowerCAmelCase = PILImageResampling.BILINEAR	, __lowerCAmelCase = None	, **__lowerCAmelCase	, ):







            """simple docstring"""



            lowercase														=			get_size_dict(__lowerCAmelCase		)
            if "height" not in size or "width" not in size:
                  raise ValueError(f'The size dictionary must contain the keys \'height\' and \'width\'. Got {size.keys()}'		)
            lowercase														=			(size["""height"""], size["""width"""])
            return resize(__lowerCAmelCase	, size=__lowerCAmelCase	, resample=__lowerCAmelCase	, data_format=__lowerCAmelCase	, **__lowerCAmelCase		)

      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase	, __lowerCAmelCase = None	, **__lowerCAmelCase	, ):







            """simple docstring"""



            return rescale(__lowerCAmelCase	, scale=__lowerCAmelCase	, data_format=__lowerCAmelCase	, **__lowerCAmelCase		)

      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase	, __lowerCAmelCase	, __lowerCAmelCase = None	, **__lowerCAmelCase	, ):







            """simple docstring"""



            return normalize(__lowerCAmelCase	, mean=__lowerCAmelCase	, std=__lowerCAmelCase	, data_format=__lowerCAmelCase	, **__lowerCAmelCase		)







      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase=None	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = None	, __lowerCAmelCase = ChannelDimension.FIRST	, **__lowerCAmelCase	, ):







            """simple docstring"""



            lowercase														=			do_resize if do_resize is not None else self.do_resize
            lowercase														=			size if size is not None else self.size
            lowercase														=			get_size_dict(__lowerCAmelCase		)
            lowercase														=			resample if resample is not None else self.resample
            lowercase														=			do_rescale if do_rescale is not None else self.do_rescale
            lowercase														=			rescale_factor if rescale_factor is not None else self.rescale_factor
            lowercase														=			do_normalize if do_normalize is not None else self.do_normalize
            lowercase														=			image_mean if image_mean is not None else self.image_mean
            lowercase														=			image_std if image_std is not None else self.image_std
            lowercase														=			apply_ocr if apply_ocr is not None else self.apply_ocr
            lowercase														=			ocr_lang if ocr_lang is not None else self.ocr_lang
            lowercase														=			tesseract_config if tesseract_config is not None else self.tesseract_config

            lowercase														=			make_list_of_images(__lowerCAmelCase		)

            if not valid_images(__lowerCAmelCase		):
                  raise ValueError(
                      """Invalid image type. Must be of type PIL.Image.Image, numpy.ndarray, """
                      """torch.Tensor, tf.Tensor or jax.ndarray."""		)

            if do_resize and size is None:
                  raise ValueError("""Size must be specified if do_resize is True."""		)

            if do_rescale and rescale_factor is None:
                  raise ValueError("""Rescale factor must be specified if do_rescale is True."""		)

            if do_normalize and (image_mean is None or image_std is None):
                  raise ValueError("""If do_normalize is True, image_mean and image_std must be specified."""		)

            # All transformations expect numpy arrays.
            lowercase														=			[to_numpy_array(__lowerCAmelCase		) for image in images]

            # Tesseract OCR to get words + normalized bounding boxes
            if apply_ocr:
                  requires_backends(self	, """pytesseract"""		)
                  lowercase														=			[]
                  lowercase														=			[]
                  for image in images:
                        lowercase							,							lowercase														=			apply_tesseract(__lowerCAmelCase	, __lowerCAmelCase	, __lowerCAmelCase		)
                        words_batch.append(__lowerCAmelCase		)
                        boxes_batch.append(__lowerCAmelCase		)

            if do_resize:
                  lowercase														=			[self.resize(image=__lowerCAmelCase	, size=__lowerCAmelCase	, resample=__lowerCAmelCase		) for image in images]

            if do_rescale:
                  lowercase														=			[self.rescale(image=__lowerCAmelCase	, scale=__lowerCAmelCase		) for image in images]

            if do_normalize:
                  lowercase														=			[self.normalize(image=__lowerCAmelCase	, mean=__lowerCAmelCase	, std=__lowerCAmelCase		) for image in images]

            lowercase														=			[to_channel_dimension_format(__lowerCAmelCase	, __lowerCAmelCase		) for image in images]

            lowercase														=			BatchFeature(data={"""pixel_values""": images}	, tensor_type=__lowerCAmelCase		)

            if apply_ocr:
                  lowercase														=			words_batch
                  lowercase														=			boxes_batch
            return data




"""simple docstring"""






import os
from itertools import chain
from random import randrange, shuffle

import pytest

from .sola import PokerHand

__lowerCAmelCase					: Optional[Any]        =(
    """4S 3H 2C 7S 5H""",
    """9D 8H 2C 6S 7H""",
    """2D 6D 9D TH 7D""",
    """TC 8C 2S JH 6C""",
    """JH 8S TH AH QH""",
    """TS KS 5S 9S AC""",
    """KD 6S 9D TH AD""",
    """KS 8D 4D 9S 4S""",  # pair
    """8C 4S KH JS 4D""",  # pair
    """QH 8H KD JH 8S""",  # pair
    """KC 4H KS 2H 8D""",  # pair
    """KD 4S KC 3H 8S""",  # pair
    """AH 8S AS KC JH""",  # pair
    """3H 4C 4H 3S 2H""",  # 2 pairs
    """5S 5D 2C KH KH""",  # 2 pairs
    """3C KH 5D 5S KH""",  # 2 pairs
    """AS 3C KH AD KH""",  # 2 pairs
    """7C 7S 3S 7H 5S""",  # 3 of a kind
    """7C 7S KH 2H 7H""",  # 3 of a kind
    """AC KH QH AH AS""",  # 3 of a kind
    """2H 4D 3C AS 5S""",  # straight (low ace)
    """3C 5C 4C 2C 6H""",  # straight
    """6S 8S 7S 5H 9H""",  # straight
    """JS QS 9H TS KH""",  # straight
    """QC KH TS JS AH""",  # straight (high ace)
    """8C 9C 5C 3C TC""",  # flush
    """3S 8S 9S 5S KS""",  # flush
    """4C 5C 9C 8C KC""",  # flush
    """JH 8H AH KH QH""",  # flush
    """3D 2H 3H 2C 2D""",  # full house
    """2H 2C 3S 3H 3D""",  # full house
    """KH KC 3S 3H 3D""",  # full house
    """JC 6H JS JD JH""",  # 4 of a kind
    """JC 7H JS JD JH""",  # 4 of a kind
    """JC KH JS JD JH""",  # 4 of a kind
    """2S AS 4S 5S 3S""",  # straight flush (low ace)
    """2D 6D 3D 4D 5D""",  # straight flush
    """5C 6C 3C 7C 4C""",  # straight flush
    """JH 9H TH KH QH""",  # straight flush
    """JH AH TH KH QH""",  # royal flush (high ace straight flush)
)

__lowerCAmelCase					: Union[str, Any]        =(
    ("""2H 3H 4H 5H 6H""", """KS AS TS QS JS""", """Loss"""),
    ("""2H 3H 4H 5H 6H""", """AS AD AC AH JD""", """Win"""),
    ("""AS AH 2H AD AC""", """JS JD JC JH 3D""", """Win"""),
    ("""2S AH 2H AS AC""", """JS JD JC JH AD""", """Loss"""),
    ("""2S AH 2H AS AC""", """2H 3H 5H 6H 7H""", """Win"""),
    ("""AS 3S 4S 8S 2S""", """2H 3H 5H 6H 7H""", """Win"""),
    ("""2H 3H 5H 6H 7H""", """2S 3H 4H 5S 6C""", """Win"""),
    ("""2S 3H 4H 5S 6C""", """3D 4C 5H 6H 2S""", """Tie"""),
    ("""2S 3H 4H 5S 6C""", """AH AC 5H 6H AS""", """Win"""),
    ("""2S 2H 4H 5S 4C""", """AH AC 5H 6H AS""", """Loss"""),
    ("""2S 2H 4H 5S 4C""", """AH AC 5H 6H 7S""", """Win"""),
    ("""6S AD 7H 4S AS""", """AH AC 5H 6H 7S""", """Loss"""),
    ("""2S AH 4H 5S KC""", """AH AC 5H 6H 7S""", """Loss"""),
    ("""2S 3H 6H 7S 9C""", """7H 3C TH 6H 9S""", """Loss"""),
    ("""4S 5H 6H TS AC""", """3S 5H 6H TS AC""", """Win"""),
    ("""2S AH 4H 5S 6C""", """AD 4C 5H 6H 2C""", """Tie"""),
    ("""AS AH 3H AD AC""", """AS AH 2H AD AC""", """Win"""),
    ("""AH AC 5H 5C QS""", """AH AC 5H 5C KS""", """Loss"""),
    ("""AH AC 5H 5C QS""", """KH KC 5H 5C QS""", """Win"""),
    ("""7C 7S KH 2H 7H""", """3C 3S AH 2H 3H""", """Win"""),
    ("""3C 3S AH 2H 3H""", """7C 7S KH 2H 7H""", """Loss"""),
    ("""6H 5H 4H 3H 2H""", """5H 4H 3H 2H AH""", """Win"""),
    ("""5H 4H 3H 2H AH""", """5H 4H 3H 2H AH""", """Tie"""),
    ("""5H 4H 3H 2H AH""", """6H 5H 4H 3H 2H""", """Loss"""),
    ("""AH AD KS KC AC""", """AH KD KH AC KC""", """Win"""),
    ("""2H 4D 3C AS 5S""", """2H 4D 3C 6S 5S""", """Loss"""),
    ("""2H 3S 3C 3H 2S""", """3S 3C 2S 2H 2D""", """Win"""),
    ("""4D 6D 5D 2D JH""", """3S 8S 3H TC KH""", """Loss"""),
    ("""4S 6C 8S 3S 7S""", """AD KS 2D 7D 7C""", """Loss"""),
    ("""6S 4C 7H 8C 3H""", """5H JC AH 9D 9C""", """Loss"""),
    ("""9D 9H JH TC QH""", """3C 2S JS 5C 7H""", """Win"""),
    ("""2H TC 8S AD 9S""", """4H TS 7H 2C 5C""", """Win"""),
    ("""9D 3S 2C 7S 7C""", """JC TD 3C TC 9H""", """Loss"""),
)

__lowerCAmelCase					: Optional[int]        =(
    ("""2H 3H 4H 5H 6H""", True),
    ("""AS AH 2H AD AC""", False),
    ("""2H 3H 5H 6H 7H""", True),
    ("""KS AS TS QS JS""", True),
    ("""8H 9H QS JS TH""", False),
    ("""AS 3S 4S 8S 2S""", True),
)

__lowerCAmelCase					: Union[str, Any]        =(
    ("""2H 3H 4H 5H 6H""", True),
    ("""AS AH 2H AD AC""", False),
    ("""2H 3H 5H 6H 7H""", False),
    ("""KS AS TS QS JS""", True),
    ("""8H 9H QS JS TH""", True),
)

__lowerCAmelCase					: Optional[int]        =(
    ("""2H 4D 3C AS 5S""", True, [5, 4, 3, 2, 1_4]),
    ("""2H 5D 3C AS 5S""", False, [1_4, 5, 5, 3, 2]),
    ("""JH QD KC AS TS""", False, [1_4, 1_3, 1_2, 1_1, 1_0]),
    ("""9D 3S 2C 7S 7C""", False, [9, 7, 7, 3, 2]),
)

__lowerCAmelCase					: int        =(
    ("""JH AH TH KH QH""", 0),
    ("""JH 9H TH KH QH""", 0),
    ("""JC KH JS JD JH""", 7),
    ("""KH KC 3S 3H 3D""", 6),
    ("""8C 9C 5C 3C TC""", 0),
    ("""JS QS 9H TS KH""", 0),
    ("""7C 7S KH 2H 7H""", 3),
    ("""3C KH 5D 5S KH""", 2),
    ("""QH 8H KD JH 8S""", 1),
    ("""2D 6D 9D TH 7D""", 0),
)

__lowerCAmelCase					: List[str]        =(
    ("""JH AH TH KH QH""", 2_3),
    ("""JH 9H TH KH QH""", 2_2),
    ("""JC KH JS JD JH""", 2_1),
    ("""KH KC 3S 3H 3D""", 2_0),
    ("""8C 9C 5C 3C TC""", 1_9),
    ("""JS QS 9H TS KH""", 1_8),
    ("""7C 7S KH 2H 7H""", 1_7),
    ("""3C KH 5D 5S KH""", 1_6),
    ("""QH 8H KD JH 8S""", 1_5),
    ("""2D 6D 9D TH 7D""", 1_4),
)


def     UpperCAmelCase__ (       )				->					Optional[int]:
      '''simple docstring'''


      lowercase							,							lowercase														=			randrange(len(lowerCAmelCase__	)	), randrange(len(lowerCAmelCase__	)	)
      lowercase														=			["""Loss""", """Tie""", """Win"""][(play >= oppo) + (play > oppo)]
      lowercase							,							lowercase														=			SORTED_HANDS[play], SORTED_HANDS[oppo]
      return hand, other, expected


def     UpperCAmelCase__ (       lowerCAmelCase__  :int = 1_0_0	)				->					Optional[Any]:
      '''simple docstring'''


      return (generate_random_hand() for _ in range(lowerCAmelCase__	))


@pytest.mark.parametrize("""hand, expected"""      ,	lowerCAmelCase__	)
def     UpperCAmelCase__ (       lowerCAmelCase__  :int      ,	lowerCAmelCase__  :Union[str, Any]	)				->					Tuple:
      '''simple docstring'''


      assert PokerHand(lowerCAmelCase__	)._is_flush() == expected


@pytest.mark.parametrize("""hand, expected"""      ,	lowerCAmelCase__	)
def     UpperCAmelCase__ (       lowerCAmelCase__  :List[str]      ,	lowerCAmelCase__  :Tuple	)				->					int:
      '''simple docstring'''


      assert PokerHand(lowerCAmelCase__	)._is_straight() == expected


@pytest.mark.parametrize("""hand, expected, card_values"""      ,	lowerCAmelCase__	)
def     UpperCAmelCase__ (       lowerCAmelCase__  :List[Any]      ,	lowerCAmelCase__  :List[str]      ,	lowerCAmelCase__  :List[str]	)				->					Optional[int]:
      '''simple docstring'''


      lowercase														=			PokerHand(lowerCAmelCase__	)
      assert player._is_five_high_straight() == expected
      assert player._card_values == card_values


@pytest.mark.parametrize("""hand, expected"""      ,	lowerCAmelCase__	)
def     UpperCAmelCase__ (       lowerCAmelCase__  :Optional[Any]      ,	lowerCAmelCase__  :List[Any]	)				->					str:
      '''simple docstring'''


      assert PokerHand(lowerCAmelCase__	)._is_same_kind() == expected


@pytest.mark.parametrize("""hand, expected"""      ,	lowerCAmelCase__	)
def     UpperCAmelCase__ (       lowerCAmelCase__  :List[str]      ,	lowerCAmelCase__  :Any	)				->					List[str]:
      '''simple docstring'''


      assert PokerHand(lowerCAmelCase__	)._hand_type == expected


@pytest.mark.parametrize("""hand, other, expected"""      ,	lowerCAmelCase__	)
def     UpperCAmelCase__ (       lowerCAmelCase__  :Union[str, Any]      ,	lowerCAmelCase__  :List[str]      ,	lowerCAmelCase__  :Tuple	)				->					Any:
      '''simple docstring'''


      assert PokerHand(lowerCAmelCase__	).compare_with(PokerHand(lowerCAmelCase__	)	) == expected


@pytest.mark.parametrize("""hand, other, expected"""      ,	generate_random_hands()	)
def     UpperCAmelCase__ (       lowerCAmelCase__  :Union[str, Any]      ,	lowerCAmelCase__  :Union[str, Any]      ,	lowerCAmelCase__  :Union[str, Any]	)				->					Optional[Any]:
      '''simple docstring'''


      assert PokerHand(lowerCAmelCase__	).compare_with(PokerHand(lowerCAmelCase__	)	) == expected


def     UpperCAmelCase__ (       )				->					Optional[Any]:
      '''simple docstring'''


      lowercase														=			[PokerHand(lowerCAmelCase__	) for hand in SORTED_HANDS]
      lowercase														=			poker_hands.copy()
      shuffle(lowerCAmelCase__	)
      lowercase														=			chain(sorted(lowerCAmelCase__	)	)
      for index, hand in enumerate(lowerCAmelCase__	):
            assert hand == poker_hands[index]


def     UpperCAmelCase__ (       )				->					Optional[Any]:
      '''simple docstring'''


      lowercase														=			[PokerHand("""2D AC 3H 4H 5S"""	), PokerHand("""2S 3H 4H 5S 6C"""	)]
      pokerhands.sort(reverse=lowerCAmelCase__	)
      assert pokerhands[0].__str__() == "2S 3H 4H 5S 6C"


def     UpperCAmelCase__ (       )				->					Union[str, Any]:
      '''simple docstring'''


      lowercase														=			PokerHand("""2C 4S AS 3D 5C"""	)
      lowercase														=			True
      lowercase														=			[5, 4, 3, 2, 1_4]
      for _ in range(1_0	):
            assert pokerhand._is_five_high_straight() == expected
            assert pokerhand._card_values == expected_card_values






def     UpperCAmelCase__ (       )				->					Any:
      '''simple docstring'''


      lowercase														=			0
      lowercase														=			os.path.abspath(os.path.dirname(lowerCAmelCase__	)	)
      lowercase														=			os.path.join(lowerCAmelCase__      ,	"""poker_hands.txt"""	)
      with open(lowerCAmelCase__	) as file_hand:
            for line in file_hand:
                  lowercase														=			line[:1_4].strip()
                  lowercase														=			line[1_5:].strip()
                  lowercase							,							lowercase														=			PokerHand(lowerCAmelCase__	), PokerHand(lowerCAmelCase__	)
                  lowercase														=			player.compare_with(lowerCAmelCase__	)
                  if output == "Win":
                        answer += 1
      assert answer == 3_7_6



