"""simple docstring"""






import gc
import unittest

import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer

from diffusers import (
    AutoencoderKL,
    DDIMScheduler,
    StableDiffusionSAGPipeline,
    UNetaDConditionModel,
)
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu

from ..pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_PARAMS
from ..test_pipelines_common import PipelineLatentTesterMixin, PipelineTesterMixin


enable_full_determinism()





class 				_A		( lowerCAmelCase						,					lowerCAmelCase						,					unittest.TestCase			):
      snake_case__    :     Optional[Any]													=			StableDiffusionSAGPipeline
      snake_case__    :     Optional[Any]													=			TEXT_TO_IMAGE_PARAMS
      snake_case__    :     Union[str, Any]													=			TEXT_TO_IMAGE_BATCH_PARAMS
      snake_case__    :     Optional[int]													=			TEXT_TO_IMAGE_IMAGE_PARAMS
      snake_case__    :     Tuple													=			TEXT_TO_IMAGE_IMAGE_PARAMS
      snake_case__    :     str													=			False

      def        A__ (		self		):







            """simple docstring"""



            torch.manual_seed(0		)
            lowercase														=			UNetaDConditionModel(
                block_out_channels=(32, 64)	, layers_per_block=2	, sample_size=32	, in_channels=4	, out_channels=4	, down_block_types=("""DownBlock2D""", """CrossAttnDownBlock2D""")	, up_block_types=("""CrossAttnUpBlock2D""", """UpBlock2D""")	, cross_attention_dim=32	, )
            lowercase														=			DDIMScheduler(
                beta_start=0.0_0_0_8_5	, beta_end=0.0_1_2	, beta_schedule="""scaled_linear"""	, clip_sample=__lowerCAmelCase	, set_alpha_to_one=__lowerCAmelCase	, )
            torch.manual_seed(0		)
            lowercase														=			AutoencoderKL(
                block_out_channels=[32, 64]	, in_channels=3	, out_channels=3	, down_block_types=["""DownEncoderBlock2D""", """DownEncoderBlock2D"""]	, up_block_types=["""UpDecoderBlock2D""", """UpDecoderBlock2D"""]	, latent_channels=4	, )
            torch.manual_seed(0		)
            lowercase														=			CLIPTextConfig(
                bos_token_id=0	, eos_token_id=2	, hidden_size=32	, intermediate_size=37	, layer_norm_eps=1E-05	, num_attention_heads=4	, num_hidden_layers=5	, pad_token_id=1	, vocab_size=1000	, )
            lowercase														=			CLIPTextModel(__lowerCAmelCase		)
            lowercase														=			CLIPTokenizer.from_pretrained("""hf-internal-testing/tiny-random-clip"""		)

            lowercase														=			{
                """unet""": unet,
                """scheduler""": scheduler,
                """vae""": vae,
                """text_encoder""": text_encoder,
                """tokenizer""": tokenizer,
                """safety_checker""": None,
                """feature_extractor""": None,
            }
            return components

      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase=0		):







            """simple docstring"""



            if str(__lowerCAmelCase		).startswith("""mps"""		):
                  lowercase														=			torch.manual_seed(__lowerCAmelCase		)
            else:
                  lowercase														=			torch.Generator(device=__lowerCAmelCase		).manual_seed(__lowerCAmelCase		)
            lowercase														=			{
                """prompt""": """.""",
                """generator""": generator,
                """num_inference_steps""": 2,
                """guidance_scale""": 1.0,
                """sag_scale""": 1.0,
                """output_type""": """numpy""",
            }
            return inputs







      def        A__ (		self		):







            """simple docstring"""



            super().test_inference_batch_single_identical(expected_max_diff=3E-3		)






@slow
@require_torch_gpu
class 				_A		( unittest.TestCase			):

      def        A__ (		self		):







            """simple docstring"""



            super().tearDown()
            gc.collect()
            torch.cuda.empty_cache()

      def        A__ (		self		):







            """simple docstring"""



            lowercase														=			StableDiffusionSAGPipeline.from_pretrained("""CompVis/stable-diffusion-v1-4"""		)
            lowercase														=			sag_pipe.to(__lowerCAmelCase		)
            sag_pipe.set_progress_bar_config(disable=__lowerCAmelCase		)

            lowercase														=			"""."""
            lowercase														=			torch.manual_seed(0		)
            lowercase														=			sag_pipe(
                [prompt]	, generator=__lowerCAmelCase	, guidance_scale=7.5	, sag_scale=1.0	, num_inference_steps=20	, output_type="""np"""		)

            lowercase														=			output.images

            lowercase														=			image[0, -3:, -3:, -1]

            assert image.shape == (1, 512, 512, 3)
            lowercase														=			np.array([0.1_5_6_8, 0.1_7_3_8, 0.1_6_9_5, 0.1_6_9_3, 0.1_5_0_7, 0.1_7_0_5, 0.1_5_4_7, 0.1_7_5_1, 0.1_9_4_9]		)

            assert np.abs(image_slice.flatten() - expected_slice		).max() < 5E-2

      def        A__ (		self		):







            """simple docstring"""



            lowercase														=			StableDiffusionSAGPipeline.from_pretrained("""stabilityai/stable-diffusion-2-1-base"""		)
            lowercase														=			sag_pipe.to(__lowerCAmelCase		)
            sag_pipe.set_progress_bar_config(disable=__lowerCAmelCase		)

            lowercase														=			"""."""
            lowercase														=			torch.manual_seed(0		)
            lowercase														=			sag_pipe(
                [prompt]	, generator=__lowerCAmelCase	, guidance_scale=7.5	, sag_scale=1.0	, num_inference_steps=20	, output_type="""np"""		)

            lowercase														=			output.images

            lowercase														=			image[0, -3:, -3:, -1]

            assert image.shape == (1, 512, 512, 3)
            lowercase														=			np.array([0.3_4_5_9, 0.2_8_7_6, 0.2_5_3_7, 0.3_0_0_2, 0.2_6_7_1, 0.2_1_6_0, 0.3_0_2_6, 0.2_2_6_2, 0.2_3_7_1]		)

            assert np.abs(image_slice.flatten() - expected_slice		).max() < 5E-2







      def        A__ (		self		):







            """simple docstring"""



            lowercase														=			StableDiffusionSAGPipeline.from_pretrained("""stabilityai/stable-diffusion-2-1-base"""		)
            lowercase														=			sag_pipe.to(__lowerCAmelCase		)
            sag_pipe.set_progress_bar_config(disable=__lowerCAmelCase		)

            lowercase														=			"""."""
            lowercase														=			torch.manual_seed(0		)
            lowercase														=			sag_pipe(
                [prompt]	, width=768	, height=512	, generator=__lowerCAmelCase	, guidance_scale=7.5	, sag_scale=1.0	, num_inference_steps=20	, output_type="""np"""	, )

            lowercase														=			output.images

            assert image.shape == (1, 512, 768, 3)




"""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



