
# Lint as: python3

import hashlib
from typing import Union



def 			UpperCamelCase       (				lowerCAmelCase__						):
					'''simple docstring'''
					if isinstance(lowerCAmelCase__					,     lowerCAmelCase__						):
										# Data already in bytes, returns as it as
										return hash_data
					elif isinstance(lowerCAmelCase__					,     lowerCAmelCase__						):
										# We keep the data as it as for it ot be later encoded to UTF-8
										# However replace `\\` with `/` for Windows compatibility
										lowercase		      =		hash_data.replace('''\\'''					,     '''/'''						)
					elif isinstance(lowerCAmelCase__					,     lowerCAmelCase__						):
										lowercase		      =		str(lowerCAmelCase__						)
					else:
										# If data is not of the required type, raise error
										raise InvalidKeyError(lowerCAmelCase__						)

					return hash_data.encode('''utf-8'''						)







class 							lowercase						(   SCREAMING_SNAKE_CASE__						):




							def __init__(							self  ,A__):
												lowercase		      =		'''\nFAILURE TO GENERATE DATASET: Invalid key type detected'''
												lowercase		      =		f'\nFound Key {hash_data} of type {type(A__)}'
												lowercase		      =		'''\nKeys should be either str, int or bytes type'''
												super().__init__(f'{self.prefix}{self.err_msg}{self.suffix}')







class 							lowercase						(   SCREAMING_SNAKE_CASE__						):




							def __init__(							self  ,A__  ,A__  ,A__=""):
												lowercase		      =		key
												lowercase		      =		duplicate_key_indices
												lowercase		      =		fix_msg
												lowercase		      =		'''Found multiple examples generated with the same key'''
												if len(A__) <= 2_0:
																	lowercase		      =		f'\nThe examples at index {", ".join(A__)} have the key {key}'
												else:
																	lowercase		      =		f'\nThe examples at index {", ".join(duplicate_key_indices[:2_0])}... ({len(A__) - 2_0} more) have the key {key}'
												lowercase		      =		'''\n''' + fix_msg if fix_msg else ''''''
												super().__init__(f'{self.prefix}{self.err_msg}{self.suffix}')







class 							lowercase						:




							def __init__(							self  ,A__):
												lowercase		      =		hashlib.mda(_as_bytes(A__))





							def 					A__ (							self  ,A__):
												lowercase		      =		self._split_mda.copy()
												lowercase		      =		_as_bytes(A__)
												mda.update(A__)
												# Convert to integer with hexadecimal conversion
												return int(mda.hexdigest()  ,1_6)






import unittest

import torch

from diffusers import DDIMScheduler, TextToVideoZeroPipeline
from diffusers.utils import load_pt, require_torch_gpu, slow

from ..test_pipelines_common import assert_mean_pixel_difference







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




							def 					A__ (							self):
												lowercase		      =		'''runwayml/stable-diffusion-v1-5'''
												lowercase		      =		TextToVideoZeroPipeline.from_pretrained(A__  ,torch_dtype=torch.floataa).to('''cuda''')
												lowercase		      =		DDIMScheduler.from_config(pipe.scheduler.config)
												lowercase		      =		torch.Generator(device='''cuda''').manual_seed(0)

												lowercase		      =		'''A bear is playing a guitar on Times Square'''
												lowercase		      =		pipe(prompt=A__  ,generator=A__).images

												lowercase		      =		load_pt(
												    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/text-to-video/A bear is playing a guitar on Times Square.pt''')

												assert_mean_pixel_difference(A__  ,A__)




