




import re
import time
from typing import Optional

import IPython.display as disp

from ..trainer_callback import TrainerCallback
from ..trainer_utils import IntervalStrategy, has_length







def 		lowercase__   (		__A:	Any				):





					'''simple docstring'''






					__magic_name__							:	Any    							=							int(__A				)
					__magic_name__							:	int    							=							t // 3_6_0_0, (t // 6_0) % 6_0, t % 6_0
					return F'''{h}:{m:02d}:{s:02d}''' if h != 0 else F'''{m:02d}:{s:02d}'''







def 		lowercase__   (		__A:	str							,__A:	List[Any]							,__A:	Optional[int]							,__A:	str							,__A:	Dict=3_0_0				):





					'''simple docstring'''






					return F'''
    <div>
      {prefix}
      <progress value=\'{value}\' max=\'{total}\' style=\'width:{width}px; height:20px; vertical-align: middle;\'></progress>
      {label}
    </div>
    '''







def 		lowercase__   (		__A:	List[Any]				):





					'''simple docstring'''






					__magic_name__							:	Optional[Any]    							=							'''<table border="1" class="dataframe">\n'''
					html_code += """  <thead>\n <tr style="text-align: left;">\n"""
					for i in items[0]:
										html_code += F'''      <th>{i}</th>\n'''
					html_code += "    </tr>\n  </thead>\n  <tbody>\n"
					for line in items[1:]:
										html_code += "    <tr>\n"
										for elt in line:
															__magic_name__							:	List[str]    							=							F'''{elt:.6f}''' if isinstance(__A							,__A				) else str(__A				)
															html_code += F'''      <td>{elt}</td>\n'''
										html_code += "    </tr>\n"
					html_code += "  </tbody>\n</table><p>"
					return html_code


class    lowerCamelCase    :






			'''simple docstring'''





			UpperCamelCase__								=5
			UpperCamelCase__								=0.2

			def __init__( self			:   Union[str, Any]       ,						lowerCamelCase_			:   int       ,						lowerCamelCase_			:   Optional[str] = None       ,						lowerCamelCase_			:   bool = True       ,						lowerCamelCase_			:   Optional["NotebookTrainingTracker"] = None       ,						lowerCamelCase_			:   int = 300       ,						)						->   Optional[Any]:
								__magic_name__							:	Any    							=							total
								__magic_name__							:	int    							=							'''''' if prefix is None else prefix
								__magic_name__							:	Any    							=							leave
								__magic_name__							:	str    							=							parent
								__magic_name__							:	Optional[int]    							=							width
								__magic_name__							:	Union[str, Any]    							=							None
								__magic_name__							:	Any    							=							None
								__magic_name__							:	int    							=							None

			def 							UpperCAmelCase__       ( self			:   Tuple       ,						lowerCamelCase_			:   int       ,						lowerCamelCase_			:   bool = False       ,						lowerCamelCase_			:   str = None  )						->   Optional[Any]:
								__magic_name__							:	Tuple    							=							value
								if comment is not None:
													__magic_name__							:	Tuple    							=							comment
								if self.last_value is None:
													__magic_name__							:	Dict    							=							time.time()
													__magic_name__							:	List[Any]    							=							value
													__magic_name__							:	Tuple    							=							None
													__magic_name__							:	List[str]    							=							self.warmup
													__magic_name__							:	List[Any]    							=							1
													self.update_bar(lowerCamelCase_  )
								elif value <= self.last_value and not force_update:
													return
								elif force_update or self.first_calls > 0 or value >= min(self.last_value + self.wait_for       ,						self.total  ):
													if self.first_calls > 0:
																		self.first_calls -= 1
													__magic_name__							:	List[Any]    							=							time.time()
													__magic_name__							:	Optional[Any]    							=							current_time - self.start_time
													# We could have value = self.start_value if the update is called twixe with the same start value.
													if value > self.start_value:
																		__magic_name__							:	List[str]    							=							self.elapsed_time / (value - self.start_value)
													else:
																		__magic_name__							:	Optional[Any]    							=							None
													if value >= self.total:
																		__magic_name__							:	Optional[int]    							=							self.total
																		__magic_name__							:	Optional[Any]    							=							None
																		if not self.leave:
																							self.close()
													elif self.average_time_per_item is not None:
																		__magic_name__							:	str    							=							self.average_time_per_item * (self.total - value)
													self.update_bar(lowerCamelCase_  )
													__magic_name__							:	Optional[int]    							=							value
													__magic_name__							:	List[str]    							=							current_time
													if self.average_time_per_item is None:
																		__magic_name__							:	Tuple    							=							1
													else:
																		__magic_name__							:	str    							=							max(int(self.update_every / self.average_time_per_item  )       ,						1  )

			def 							UpperCAmelCase__       ( self			:   List[str]       ,						lowerCamelCase_			:   Any       ,						lowerCamelCase_			:   List[Any]=None  )						->   str:
								__magic_name__							:	str    							=							''' ''' * (len(str(self.total  )  ) - len(str(lowerCamelCase_  )  )) + str(lowerCamelCase_  )
								if self.elapsed_time is None:
													__magic_name__							:	Optional[int]    							=							F'''[{spaced_value}/{self.total} : < :'''
								elif self.predicted_remaining is None:
													__magic_name__							:	Optional[Any]    							=							F'''[{spaced_value}/{self.total} {format_time(self.elapsed_time  )}'''
								else:
													__magic_name__							:	Dict    							=							(
													    F'''[{spaced_value}/{self.total} {format_time(self.elapsed_time  )} <'''
													    F''' {format_time(self.predicted_remaining  )}'''
													)
													self.label += F''', {1/self.average_time_per_item:.2f} it/s'''
								self.label += "]" if self.comment is None or len(self.comment  ) == 0 else F''', {self.comment}]'''
								self.display()

			def 							UpperCAmelCase__       ( self			:   List[str]  )						->   str:
								__magic_name__							:	List[Any]    							=							html_progress_bar(self.value       ,						self.total       ,						self.prefix       ,						self.label       ,						self.width  )
								if self.parent is not None:
													# If this is a child bar, the parent will take care of the display.
													self.parent.display()
													return
								if self.output is None:
													__magic_name__							:	List[Any]    							=							disp.display(disp.HTML(self.html_code  )       ,						display_id=lowerCamelCase_  )
								else:
													self.output.update(disp.HTML(self.html_code  )  )


			def 							UpperCAmelCase__       ( self			:   int  )						->   Union[str, Any]:
								if self.parent is None and self.output is not None:
													self.output.update(disp.HTML(''''''  )  )






class    lowerCamelCase    (		_lowerCamelCase						):






			'''simple docstring'''





			def __init__( self			:   Optional[Any]       ,						lowerCamelCase_			:   Optional[int]       ,						lowerCamelCase_			:   List[str]=None  )						->   str:
								super().__init__(lowerCamelCase_  )
								__magic_name__							:	int    							=							None if column_names is None else [column_names]
								__magic_name__							:	str    							=							None

			def 							UpperCAmelCase__       ( self			:   int  )						->   Any:
								__magic_name__							:	Any    							=							html_progress_bar(self.value       ,						self.total       ,						self.prefix       ,						self.label       ,						self.width  )
								if self.inner_table is not None:
													self.html_code += text_to_html_table(self.inner_table  )
								if self.child_bar is not None:
													self.html_code += self.child_bar.html_code
								if self.output is None:
													__magic_name__							:	List[Any]    							=							disp.display(disp.HTML(self.html_code  )       ,						display_id=lowerCamelCase_  )
								else:
													self.output.update(disp.HTML(self.html_code  )  )

			def 							UpperCAmelCase__       ( self			:   Union[str, Any]       ,						lowerCamelCase_			:   Dict  )						->   Optional[int]:
								if self.inner_table is None:
													__magic_name__							:	int    							=							[list(values.keys()  ), list(values.values()  )]
								else:
													__magic_name__							:	Any    							=							self.inner_table[0]
													if len(self.inner_table  ) == 1:
																		# We give a chance to update the column names at the first iteration
																		for key in values.keys():
																							if key not in columns:
																												columns.append(lowerCamelCase_  )
																		__magic_name__							:	Union[str, Any]    							=							columns
													self.inner_table.append([values[c] for c in columns]  )

			def 							UpperCAmelCase__       ( self			:   Optional[Any]       ,						lowerCamelCase_			:   List[str]       ,						lowerCamelCase_			:   str=None       ,						lowerCamelCase_			:   Any=300  )						->   Any:
								__magic_name__							:	Union[str, Any]    							=							NotebookProgressBar(lowerCamelCase_       ,						prefix=lowerCamelCase_       ,						parent=self       ,						width=lowerCamelCase_  )
								return self.child_bar


			def 							UpperCAmelCase__       ( self			:   List[str]  )						->   Union[str, Any]:
								__magic_name__							:	str    							=							None
								self.display()






class    lowerCamelCase    (		_lowerCamelCase						):






			'''simple docstring'''





			def __init__( self			:   Tuple  )						->   Union[str, Any]:
								__magic_name__							:	int    							=							None
								__magic_name__							:	Dict    							=							None
								__magic_name__							:	List[str]    							=							False

			def 							UpperCAmelCase__       ( self			:   List[Any]       ,						lowerCamelCase_			:   Any       ,						lowerCamelCase_			:   str       ,						lowerCamelCase_			:   List[Any]       ,						**lowerCamelCase_			:   Dict  )						->   int:
								__magic_name__							:	Any    							=							'''Epoch''' if args.evaluation_strategy == IntervalStrategy.EPOCH else '''Step'''
								__magic_name__							:	Tuple    							=							0
								__magic_name__							:	Dict    							=							0
								__magic_name__							:	List[Any]    							=							[self.first_column] + ['''Training Loss''']
								if args.evaluation_strategy != IntervalStrategy.NO:
													column_names.append('''Validation Loss'''  )
								__magic_name__							:	Union[str, Any]    							=							NotebookTrainingTracker(state.max_steps       ,						lowerCamelCase_  )

			def 							UpperCAmelCase__       ( self			:   Any       ,						lowerCamelCase_			:   Optional[int]       ,						lowerCamelCase_			:   int       ,						lowerCamelCase_			:   Any       ,						**lowerCamelCase_			:   List[Any]  )						->   Any:
								__magic_name__							:	str    							=							int(state.epoch  ) if int(state.epoch  ) == state.epoch else F'''{state.epoch:.2f}'''
								self.training_tracker.update(
								    state.global_step + 1       ,						comment=F'''Epoch {epoch}/{state.num_train_epochs}'''       ,						force_update=self._force_next_update       ,						)
								__magic_name__							:	int    							=							False

			def 							UpperCAmelCase__       ( self			:   List[str]       ,						lowerCamelCase_			:   List[str]       ,						lowerCamelCase_			:   Optional[Any]       ,						lowerCamelCase_			:   Optional[Any]       ,						lowerCamelCase_			:   Tuple=None       ,						**lowerCamelCase_			:   Dict  )						->   Any:
								if not has_length(lowerCamelCase_  ):
													return
								if self.prediction_bar is None:
													if self.training_tracker is not None:
																		__magic_name__							:	Tuple    							=							self.training_tracker.add_child(len(lowerCamelCase_  )  )
													else:
																		__magic_name__							:	Tuple    							=							NotebookProgressBar(len(lowerCamelCase_  )  )
													self.prediction_bar.update(1  )
								else:
													self.prediction_bar.update(self.prediction_bar.value + 1  )

			def 							UpperCAmelCase__       ( self			:   Optional[int]       ,						lowerCamelCase_			:   List[Any]       ,						lowerCamelCase_			:   int       ,						lowerCamelCase_			:   str       ,						**lowerCamelCase_			:   Union[str, Any]  )						->   List[str]:
								if self.prediction_bar is not None:
													self.prediction_bar.close()
								__magic_name__							:	Any    							=							None

			def 							UpperCAmelCase__       ( self			:   Tuple       ,						lowerCamelCase_			:   Union[str, Any]       ,						lowerCamelCase_			:   List[str]       ,						lowerCamelCase_			:   Tuple       ,						lowerCamelCase_			:   Optional[Any]=None       ,						**lowerCamelCase_			:   List[str]  )						->   str:
								# Only for when there is no evaluation
								if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
													__magic_name__							:	Union[str, Any]    							=							{'''Training Loss''': logs['''loss''']}
													# First column is necessarily Step sine we're not in epoch eval strategy
													__magic_name__							:	str    							=							state.global_step
													self.training_tracker.write_line(lowerCamelCase_  )

			def 							UpperCAmelCase__       ( self			:   List[str]       ,						lowerCamelCase_			:   List[Any]       ,						lowerCamelCase_			:   Dict       ,						lowerCamelCase_			:   Dict       ,						lowerCamelCase_			:   Optional[int]=None       ,						**lowerCamelCase_			:   Union[str, Any]  )						->   Dict:
								if self.training_tracker is not None:
													__magic_name__							:	List[str]    							=							{'''Training Loss''': '''No log''', '''Validation Loss''': '''No log'''}
													for log in reversed(state.log_history  ):
																		if "loss" in log:
																							__magic_name__							:	str    							=							log['''loss''']
																							break

													if self.first_column == "Epoch":
																		__magic_name__							:	Optional[int]    							=							int(state.epoch  )
													else:
																		__magic_name__							:	Optional[Any]    							=							state.global_step
													__magic_name__							:	int    							=							'''eval'''
													for k in metrics:
																		if k.endswith('''_loss'''  ):
																							__magic_name__							:	Tuple    							=							re.sub(R'''\_loss$'''       ,						''''''       ,						lowerCamelCase_  )
													__magic_name__							:	int    							=							metrics.pop('''total_flos'''       ,						lowerCamelCase_  )
													__magic_name__							:	Tuple    							=							metrics.pop('''epoch'''       ,						lowerCamelCase_  )
													__magic_name__							:	Optional[Any]    							=							metrics.pop(F'''{metric_key_prefix}_runtime'''       ,						lowerCamelCase_  )
													__magic_name__							:	List[Any]    							=							metrics.pop(F'''{metric_key_prefix}_samples_per_second'''       ,						lowerCamelCase_  )
													__magic_name__							:	Optional[int]    							=							metrics.pop(F'''{metric_key_prefix}_steps_per_second'''       ,						lowerCamelCase_  )
													__magic_name__							:	str    							=							metrics.pop(F'''{metric_key_prefix}_jit_compilation_time'''       ,						lowerCamelCase_  )
													for k, v in metrics.items():
																		if k == F'''{metric_key_prefix}_loss''':
																							__magic_name__							:	List[Any]    							=							v
																		else:
																							__magic_name__							:	Optional[Any]    							=							k.split('''_'''  )
																							__magic_name__							:	List[str]    							=							''' '''.join([part.capitalize() for part in splits[1:]]  )
																							__magic_name__							:	Optional[int]    							=							v
													self.training_tracker.write_line(lowerCamelCase_  )
													self.training_tracker.remove_child()
													__magic_name__							:	List[str]    							=							None
													# Evaluation takes a long time so we should force the next update.
													__magic_name__							:	str    							=							True


			def 							UpperCAmelCase__       ( self			:   List[str]       ,						lowerCamelCase_			:   Dict       ,						lowerCamelCase_			:   Optional[Any]       ,						lowerCamelCase_			:   Optional[int]       ,						**lowerCamelCase_			:   Optional[Any]  )						->   Optional[Any]:
								self.training_tracker.update(
								    state.global_step       ,						comment=F'''Epoch {int(state.epoch  )}/{state.num_train_epochs}'''       ,						force_update=lowerCamelCase_  )
								__magic_name__							:	List[Any]    							=							None









# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from ...utils import deprecate
from ..controlnet.pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline  # noqa: F401


deprecate(
    '''stable diffusion controlnet''',
    '''0.22.0''',
    '''Importing `FlaxStableDiffusionControlNetPipeline` from diffusers.pipelines.stable_diffusion.flax_pipeline_stable_diffusion_controlnet is deprecated. Please import `from diffusers import FlaxStableDiffusionControlNetPipeline` instead.''',
    standard_warn=False,
    stacklevel=3,
)



