



"""simple docstring"""






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   snake_case__     (	__lowerCamelCase       :					Any			):
			"""simple docstring"""
			lowerCamelCase__	:	Tuple				=int(__lowerCamelCase			)
			lowerCamelCase__			,     lowerCamelCase__			,     lowerCamelCase__	:	Dict				=t // 3600, (t // 60) % 60, t % 60
			return f'''{h}:{m:02d}:{s:02d}''' if h != 0 else f'''{m:02d}:{s:02d}'''






def   snake_case__     (	__lowerCamelCase       :					Optional[Any]							,	__lowerCamelCase       :					List[str]							,	__lowerCamelCase       :					Any							,	__lowerCamelCase       :					Tuple							,	__lowerCamelCase       :					Dict=300			):
			"""simple docstring"""
			# docstyle-ignore
			return f'''
    <div>
      {prefix}
      <progress value=\'{value}\' max=\'{total}\' style=\'width:{width}px; height:20px; vertical-align: middle;\'></progress>
      {label}
    </div>
    '''






def   snake_case__     (	__lowerCamelCase       :					Tuple			):
			"""simple docstring"""
			lowerCamelCase__	:	List[str]				='''<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:
									lowerCamelCase__	:	Any				=f'''{elt:.6f}''' if isinstance(__lowerCamelCase							,	__lowerCamelCase			) else str(__lowerCamelCase			)
									html_code += f'''      <td>{elt}</td>\n'''
						html_code += "    </tr>\n"
			html_code += "  </tbody>\n</table><p>"
			return html_code

class  __SCREAMING_SNAKE_CASE			:


					'''simple docstring'''





					_a         =							5
					_a         =							0.2



					def __init__( self							:						Any,						lowerCamelCase							:						int,						lowerCamelCase							:						Optional[str] = None,						lowerCamelCase							:						bool = True,						lowerCamelCase							:						Optional["NotebookTrainingTracker"] = None,						lowerCamelCase							:						int = 300,						)->      Tuple:
								lowerCamelCase__	:	List[Any]				=total
								lowerCamelCase__	:	int				='''''' if prefix is None else prefix
								lowerCamelCase__	:	Dict				=leave
								lowerCamelCase__	:	Any				=parent
								lowerCamelCase__	:	Dict				=width
								lowerCamelCase__	:	str				=None
								lowerCamelCase__	:	str				=None
								lowerCamelCase__	:	Tuple				=None



					def 	snake_case ( self							:						Optional[int],						lowerCamelCase							:						int,						lowerCamelCase							:						bool = False,						lowerCamelCase							:						str = None  )->      List[str]:
								lowerCamelCase__	:	Dict				=value
								if comment is not None:
											lowerCamelCase__	:	Optional[int]				=comment
								if self.last_value is None:
											lowerCamelCase__	:	str				=time.time()
											lowerCamelCase__	:	Optional[Any]				=value
											lowerCamelCase__	:	List[Any]				=None
											lowerCamelCase__	:	Dict				=self.warmup
											lowerCamelCase__	:	Tuple				=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
											lowerCamelCase__	:	Optional[Any]				=time.time()
											lowerCamelCase__	:	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:
														lowerCamelCase__	:	Optional[Any]				=self.elapsed_time / (value - self.start_value)
											else:
														lowerCamelCase__	:	Tuple				=None
											if value >= self.total:
														lowerCamelCase__	:	Dict				=self.total
														lowerCamelCase__	:	Tuple				=None
														if not self.leave:
																	self.close()
											elif self.average_time_per_item is not None:
														lowerCamelCase__	:	List[Any]				=self.average_time_per_item * (self.total - value)
											self.update_bar(lowerCamelCase  )
											lowerCamelCase__	:	Any				=value
											lowerCamelCase__	:	List[str]				=current_time
											if self.average_time_per_item is None:
														lowerCamelCase__	:	str				=1
											else:
														lowerCamelCase__	:	str				=max(int(self.update_every / self.average_time_per_item  ),						1  )



					def 	snake_case ( self							:						List[str],						lowerCamelCase							:						int,						lowerCamelCase							:						Dict=None  )->      Optional[int]:
								lowerCamelCase__	:	int				=''' ''' * (len(str(self.total  )  ) - len(str(lowerCamelCase  )  )) + str(lowerCamelCase  )
								if self.elapsed_time is None:
											lowerCamelCase__	:	Optional[int]				=F'''[{spaced_value}/{self.total} : < :'''
								elif self.predicted_remaining is None:
											lowerCamelCase__	:	Optional[Any]				=F'''[{spaced_value}/{self.total} {format_time(self.elapsed_time  )}'''
								else:
											lowerCamelCase__	:	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 	snake_case ( self							:						List[Any]  )->      str:
								lowerCamelCase__	:	Optional[int]				=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:
											lowerCamelCase__	:	Tuple				=disp.display(disp.HTML(self.html_code  ),						display_id=lowerCamelCase  )
								else:
											self.output.update(disp.HTML(self.html_code  )  )




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





class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





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



					def 	snake_case ( self							:						int  )->      int:
								lowerCamelCase__	:	Union[str, 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:
											lowerCamelCase__	:	Union[str, Any]				=disp.display(disp.HTML(self.html_code  ),						display_id=lowerCamelCase  )
								else:
											self.output.update(disp.HTML(self.html_code  )  )



					def 	snake_case ( self							:						List[Any],						lowerCamelCase							:						Any  )->      Optional[int]:
								if self.inner_table is None:
											lowerCamelCase__	:	List[str]				=[list(values.keys()  ), list(values.values()  )]
								else:
											lowerCamelCase__	:	Tuple				=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  )
														lowerCamelCase__	:	List[str]				=columns
											self.inner_table.append([values[c] for c in columns]  )



					def 	snake_case ( self							:						str,						lowerCamelCase							:						Optional[Any],						lowerCamelCase							:						Optional[int]=None,						lowerCamelCase							:						Tuple=300  )->      List[Any]:
								lowerCamelCase__	:	Optional[Any]				=NotebookProgressBar(lowerCamelCase,						prefix=lowerCamelCase,						parent=self,						width=lowerCamelCase  )
								return self.child_bar




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





class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





					def __init__( self							:						Optional[int]  )->      Dict:
								lowerCamelCase__	:	Optional[int]				=None
								lowerCamelCase__	:	List[Any]				=None
								lowerCamelCase__	:	Dict				=False



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



					def 	snake_case ( self							:						str,						lowerCamelCase							:						Any,						lowerCamelCase							:						Dict,						lowerCamelCase							:						Optional[Any],						**lowerCamelCase							:						Union[str, Any]  )->      List[str]:
								lowerCamelCase__	:	Optional[int]				=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,						)
								lowerCamelCase__	:	Optional[Any]				=False



					def 	snake_case ( self							:						Any,						lowerCamelCase							:						Dict,						lowerCamelCase							:						Dict,						lowerCamelCase							:						int,						lowerCamelCase							:						Union[str, Any]=None,						**lowerCamelCase							:						List[Any]  )->      Optional[int]:
								if not has_length(lowerCamelCase  ):
											return
								if self.prediction_bar is None:
											if self.training_tracker is not None:
														lowerCamelCase__	:	Any				=self.training_tracker.add_child(len(lowerCamelCase  )  )
											else:
														lowerCamelCase__	:	str				=NotebookProgressBar(len(lowerCamelCase  )  )
											self.prediction_bar.update(1  )
								else:
											self.prediction_bar.update(self.prediction_bar.value + 1  )



					def 	snake_case ( self							:						List[Any],						lowerCamelCase							:						Any,						lowerCamelCase							:						Any,						lowerCamelCase							:						str,						**lowerCamelCase							:						List[Any]  )->      Union[str, Any]:
								if self.prediction_bar is not None:
											self.prediction_bar.close()
								lowerCamelCase__	:	List[Any]				=None



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



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

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




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









"""simple docstring"""






from __future__ import annotations

from collections.abc import Iterator

class  __SCREAMING_SNAKE_CASE			:


					'''simple docstring'''





					def __init__( self							:						str,						lowerCamelCase							:						int  )->      None:
								lowerCamelCase__	:	str				=value
								lowerCamelCase__	:	Node | None				=None
								lowerCamelCase__	:	Node | None				=None





class  __SCREAMING_SNAKE_CASE			:


					'''simple docstring'''





					def __init__( self							:						int,						lowerCamelCase							:						Node  )->      None:
								lowerCamelCase__	:	Any				=tree



					def 	snake_case ( self							:						str,						lowerCamelCase							:						Node | None  )->      int:
								if node is None:
											return 0
								return node.value + (
								    self.depth_first_search(node.left  ) + self.depth_first_search(node.right  )
								)




					def __iter__( self							:						Dict  )->      Iterator[int]:
								yield self.depth_first_search(self.tree  )


if __name__ == "__main__":
		import doctest

		doctest.testmod()




