

import functools
import logging
import os
import sys
import threading
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

import huggingface_hub.utils as hf_hub_utils
from tqdm import auto as tqdm_lib


_UpperCAmelCase		:       Union[str, Any]						    =	threading.Lock()
_UpperCAmelCase		:       Optional[logging.Handler]						    =	None

_UpperCAmelCase		:       Tuple						    =	{
    """debug""": logging.DEBUG,
    """info""": logging.INFO,
    """warning""": logging.WARNING,
    """error""": logging.ERROR,
    """critical""": logging.CRITICAL,
}

_UpperCAmelCase		:       Any						    =	logging.WARNING

_UpperCAmelCase		:       Any						    =	True





def  __lowerCamelCase     (			):







							'''simple docstring'''






							snake_case_          =   os.getenv('TRANSFORMERS_VERBOSITY'       ,							UpperCamelCase__				)
							if env_level_str:
														if env_level_str in log_levels:
																					return log_levels[env_level_str]
														else:
																					logging.getLogger().warning(
																					    F'''Unknown option TRANSFORMERS_VERBOSITY={env_level_str}, '''
																					    F'''has to be one of: { ", ".join(log_levels.keys()				) }'''				)
							return _default_log_level





def  __lowerCamelCase     (			):







							'''simple docstring'''






							return __name__.split('.'				)[0]





def  __lowerCamelCase     (			):







							'''simple docstring'''






							return logging.getLogger(_get_library_name()				)





def  __lowerCamelCase     (			):







							'''simple docstring'''






							global _default_handler

							with _lock:
														if _default_handler:
																					# This library has already configured the library root logger.
																					return
														snake_case_          =   logging.StreamHandler()  # Set sys.stderr as stream.
														snake_case_          =   sys.stderr.flush

														# Apply our default configuration to the library root logger.
														snake_case_          =   _get_library_root_logger()
														library_root_logger.addHandler(_default_handler				)
														library_root_logger.setLevel(_get_default_logging_level()				)
														snake_case_          =   False





def  __lowerCamelCase     (			):







							'''simple docstring'''






							global _default_handler

							with _lock:
														if not _default_handler:
																					return

														snake_case_          =   _get_library_root_logger()
														library_root_logger.removeHandler(_default_handler				)
														library_root_logger.setLevel(logging.NOTSET				)
														snake_case_          =   None





def  __lowerCamelCase     (			):







							'''simple docstring'''






							return log_levels





def  __lowerCamelCase     (			UpperCamelCase__ = None				):







							'''simple docstring'''






							if name is None:
														snake_case_          =   _get_library_name()

							_configure_library_root_logger()
							return logging.getLogger(UpperCamelCase__				)





def  __lowerCamelCase     (			):







							'''simple docstring'''






							_configure_library_root_logger()
							return _get_library_root_logger().getEffectiveLevel()





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							_configure_library_root_logger()
							_get_library_root_logger().setLevel(UpperCamelCase__				)





def  __lowerCamelCase     (			):







							'''simple docstring'''






							return set_verbosity(UpperCamelCase__				)





def  __lowerCamelCase     (			):







							'''simple docstring'''






							return set_verbosity(UpperCamelCase__				)





def  __lowerCamelCase     (			):







							'''simple docstring'''






							return set_verbosity(UpperCamelCase__				)





def  __lowerCamelCase     (			):







							'''simple docstring'''






							return set_verbosity(UpperCamelCase__				)





def  __lowerCamelCase     (			):







							'''simple docstring'''






							_configure_library_root_logger()

							assert _default_handler is not None
							_get_library_root_logger().removeHandler(_default_handler				)





def  __lowerCamelCase     (			):







							'''simple docstring'''






							_configure_library_root_logger()

							assert _default_handler is not None
							_get_library_root_logger().addHandler(_default_handler				)





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							_configure_library_root_logger()

							assert handler is not None
							_get_library_root_logger().addHandler(UpperCamelCase__				)





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							_configure_library_root_logger()

							assert handler is not None and handler not in _get_library_root_logger().handlers
							_get_library_root_logger().removeHandler(UpperCamelCase__				)





def  __lowerCamelCase     (			):







							'''simple docstring'''






							_configure_library_root_logger()
							snake_case_          =   False





def  __lowerCamelCase     (			):







							'''simple docstring'''






							_configure_library_root_logger()
							snake_case_          =   True





def  __lowerCamelCase     (			):







							'''simple docstring'''






							snake_case_          =   _get_library_root_logger().handlers

							for handler in handlers:
														snake_case_          =   logging.Formatter('[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s'				)
														handler.setFormatter(UpperCamelCase__				)





def  __lowerCamelCase     (			):







							'''simple docstring'''






							snake_case_          =   _get_library_root_logger().handlers

							for handler in handlers:
														handler.setFormatter(UpperCamelCase__				)





def  __lowerCamelCase     (			self       ,							*UpperCamelCase__       ,							**UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   os.getenv('TRANSFORMERS_NO_ADVISORY_WARNINGS'       ,							UpperCamelCase__				)
							if no_advisory_warnings:
														return
							self.warning(*UpperCamelCase__       ,							**UpperCamelCase__				)


_UpperCAmelCase		:       Tuple						    =	warning_advice





@functools.lru_cache(UpperCamelCase__				)
def  __lowerCamelCase     (			self       ,							*UpperCamelCase__       ,							**UpperCamelCase__				):







							'''simple docstring'''






							self.warning(*UpperCamelCase__       ,							**UpperCamelCase__				)


_UpperCAmelCase		:       List[Any]						    =	warning_once







class 			lowercase    :




				def __init__( self				,       *snake_case				,       **snake_case	):  # pylint: disable=unused-argument
											snake_case_          =   args[0] if args else None




				def __iter__( self	):
											return iter(self._iterator	)




				def __getattr__( self				,       snake_case	):

											def empty_fn(*snake_case				,       **snake_case	):  # pylint: disable=unused-argument
																		return

											return empty_fn




				def __enter__( self	):
											return self




				def __exit__( self				,       snake_case				,       snake_case				,       snake_case	):
											return







class 			lowercase    :




				def __call__( self				,       *snake_case				,       **snake_case	):
											if _tqdm_active:
																		return tqdm_lib.tqdm(*snake_case				,       **snake_case	)
											else:
																		return EmptyTqdm(*snake_case				,       **snake_case	)




				def    a							( self				,       *snake_case				,       **snake_case	):
											snake_case_          =   None
											if _tqdm_active:
																		return tqdm_lib.tqdm.set_lock(*snake_case				,       **snake_case	)




				def    a							( self	):
											if _tqdm_active:
																		return tqdm_lib.tqdm.get_lock()



_UpperCAmelCase		:       List[str]						    =	_tqdm_cls()





def  __lowerCamelCase     (			):







							'''simple docstring'''






							global _tqdm_active
							return bool(_tqdm_active				)





def  __lowerCamelCase     (			):







							'''simple docstring'''






							global _tqdm_active
							snake_case_          =   True
							hf_hub_utils.enable_progress_bars()





def  __lowerCamelCase     (			):







							'''simple docstring'''






							global _tqdm_active
							snake_case_          =   False
							hf_hub_utils.disable_progress_bars()







import gc
import unittest

from diffusers import FlaxControlNetModel, FlaxStableDiffusionControlNetPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
					import jax
					import jax.numpy as jnp
					from flax.jax_utils import replicate
					from flax.training.common_utils import shard







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




				def    a							( self	):
											# clean up the VRAM after each test
											super().tearDown()
											gc.collect()




				def    a							( self	):
											snake_case_    ,   snake_case_          =   FlaxControlNetModel.from_pretrained(
											    'lllyasviel/sd-controlnet-canny'				,       from_pt=snake_case				,       dtype=jnp.bfloataa	)
											snake_case_    ,   snake_case_          =   FlaxStableDiffusionControlNetPipeline.from_pretrained(
											    'runwayml/stable-diffusion-v1-5'				,       controlnet=snake_case				,       from_pt=snake_case				,       dtype=jnp.bfloataa	)
											snake_case_          =   controlnet_params

											snake_case_          =   'bird'
											snake_case_          =   jax.device_count()
											snake_case_          =   pipe.prepare_text_inputs([prompts] * num_samples	)

											snake_case_          =   load_image(
											    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/bird_canny.png'	)
											snake_case_          =   pipe.prepare_image_inputs([canny_image] * num_samples	)

											snake_case_          =   jax.random.PRNGKey(0	)
											snake_case_          =   jax.random.split(snake_case				,       jax.device_count()	)

											snake_case_          =   replicate(snake_case	)
											snake_case_          =   shard(snake_case	)
											snake_case_          =   shard(snake_case	)

											snake_case_          =   pipe(
											    prompt_ids=snake_case				,       image=snake_case				,       params=snake_case				,       prng_seed=snake_case				,       num_inference_steps=50				,       jit=snake_case				,       ).images
											assert images.shape == (jax.device_count(), 1, 768, 512, 3)

											snake_case_          =   images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]	)
											snake_case_          =   images[0, 253:256, 253:256, -1]

											snake_case_          =   jnp.asarray(jax.device_get(image_slice.flatten()	)	)
											snake_case_          =   jnp.array(
											    [0.16_79_69, 0.11_66_99, 0.08_15_43, 0.15_42_97, 0.13_28_12, 0.10_88_87, 0.16_99_22, 0.16_99_22, 0.20_50_78]	)
											print(F'''output_slice: {output_slice}'''	)
											assert jnp.abs(output_slice - expected_slice	).max() < 1e-2




				def    a							( self	):
											snake_case_    ,   snake_case_          =   FlaxControlNetModel.from_pretrained(
											    'lllyasviel/sd-controlnet-openpose'				,       from_pt=snake_case				,       dtype=jnp.bfloataa	)
											snake_case_    ,   snake_case_          =   FlaxStableDiffusionControlNetPipeline.from_pretrained(
											    'runwayml/stable-diffusion-v1-5'				,       controlnet=snake_case				,       from_pt=snake_case				,       dtype=jnp.bfloataa	)
											snake_case_          =   controlnet_params

											snake_case_          =   'Chef in the kitchen'
											snake_case_          =   jax.device_count()
											snake_case_          =   pipe.prepare_text_inputs([prompts] * num_samples	)

											snake_case_          =   load_image(
											    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/pose.png'	)
											snake_case_          =   pipe.prepare_image_inputs([pose_image] * num_samples	)

											snake_case_          =   jax.random.PRNGKey(0	)
											snake_case_          =   jax.random.split(snake_case				,       jax.device_count()	)

											snake_case_          =   replicate(snake_case	)
											snake_case_          =   shard(snake_case	)
											snake_case_          =   shard(snake_case	)

											snake_case_          =   pipe(
											    prompt_ids=snake_case				,       image=snake_case				,       params=snake_case				,       prng_seed=snake_case				,       num_inference_steps=50				,       jit=snake_case				,       ).images
											assert images.shape == (jax.device_count(), 1, 768, 512, 3)

											snake_case_          =   images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]	)
											snake_case_          =   images[0, 253:256, 253:256, -1]

											snake_case_          =   jnp.asarray(jax.device_get(image_slice.flatten()	)	)
											snake_case_          =   jnp.array(
											    [[0.27_14_84, 0.26_17_19, 0.27_53_91, 0.27_73_44, 0.27_92_97, 0.29_10_16, 0.29_49_22, 0.30_27_34, 0.30_27_34]]	)
											print(F'''output_slice: {output_slice}'''	)
											assert jnp.abs(output_slice - expected_slice	).max() < 1e-2




