



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__	(      __SCREAMING_SNAKE_CASE			)		->				int:
		UpperCAmelCase_						       =					int(UpperCAmelCase_			)
		UpperCAmelCase_       ,    UpperCAmelCase_       ,    UpperCAmelCase_						       =					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__	(      __SCREAMING_SNAKE_CASE      ,  __SCREAMING_SNAKE_CASE      ,  __SCREAMING_SNAKE_CASE      ,  __SCREAMING_SNAKE_CASE      ,  __SCREAMING_SNAKE_CASE=300			)		->				Optional[Any]:
		# 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__	(      __SCREAMING_SNAKE_CASE			)		->				Optional[Any]:
		UpperCAmelCase_						       =					"<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:
						UpperCAmelCase_						       =					f'''{elt:.6f}''' if isinstance(UpperCAmelCase_      ,  UpperCAmelCase_			) else str(UpperCAmelCase_			)
						html_code += f'''      <td>{elt}</td>\n'''
				html_code += "    </tr>\n"
		html_code += "  </tbody>\n</table><p>"
		return html_code



class 						lowerCamelCase   :







					'''simple docstring'''







					lowerCAmelCase_					:     Optional[int]					       =	5
					lowerCAmelCase_					:     Any					       =	0.2



					def __init__(      self     ,						lowerCAmelCase     ,						lowerCAmelCase = None     ,						lowerCAmelCase = True     ,						lowerCAmelCase = None     ,						lowerCAmelCase = 300     ,						):
							UpperCAmelCase_						       =					total
							UpperCAmelCase_						       =					"" if prefix is None else prefix
							UpperCAmelCase_						       =					leave
							UpperCAmelCase_						       =					parent
							UpperCAmelCase_						       =					width
							UpperCAmelCase_						       =					None
							UpperCAmelCase_						       =					None
							UpperCAmelCase_						       =					None



					def  A__		(      self     ,						lowerCAmelCase     ,						lowerCAmelCase = False     ,						lowerCAmelCase = None  ):
							UpperCAmelCase_						       =					value
							if comment is not None:
									UpperCAmelCase_						       =					comment
							if self.last_value is None:
									UpperCAmelCase_						       =					UpperCAmelCase_						       =					time.time()
									UpperCAmelCase_						       =					UpperCAmelCase_						       =					value
									UpperCAmelCase_						       =					UpperCAmelCase_						       =					None
									UpperCAmelCase_						       =					self.warmup
									UpperCAmelCase_						       =					1
									self.update_bar(UpperCamelCase_  )
							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
									UpperCAmelCase_						       =					time.time()
									UpperCAmelCase_						       =					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:
											UpperCAmelCase_						       =					self.elapsed_time / (value - self.start_value)
									else:
											UpperCAmelCase_						       =					None
									if value >= self.total:
											UpperCAmelCase_						       =					self.total
											UpperCAmelCase_						       =					None
											if not self.leave:
													self.close()
									elif self.average_time_per_item is not None:
											UpperCAmelCase_						       =					self.average_time_per_item * (self.total - value)
									self.update_bar(UpperCamelCase_  )
									UpperCAmelCase_						       =					value
									UpperCAmelCase_						       =					current_time
									if self.average_time_per_item is None:
											UpperCAmelCase_						       =					1
									else:
											UpperCAmelCase_						       =					max(int(self.update_every / self.average_time_per_item  )     ,						1  )



					def  A__		(      self     ,						lowerCAmelCase     ,						lowerCAmelCase=None  ):
							UpperCAmelCase_						       =					" " * (len(str(self.total  )  ) - len(str(UpperCamelCase_  )  )) + str(UpperCamelCase_  )
							if self.elapsed_time is None:
									UpperCAmelCase_						       =					f'''[{spaced_value}/{self.total} : < :'''
							elif self.predicted_remaining is None:
									UpperCAmelCase_						       =					f'''[{spaced_value}/{self.total} {format_time(self.elapsed_time  )}'''
							else:
									UpperCAmelCase_						       =					(
									    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  A__		(      self  ):
							UpperCAmelCase_						       =					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:
									UpperCAmelCase_						       =					disp.display(disp.HTML(self.html_code  )     ,						display_id=UpperCamelCase_  )
							else:
									self.output.update(disp.HTML(self.html_code  )  )



					def  A__		(      self  ):
							if self.parent is None and self.output is not None:
									self.output.update(disp.HTML(""  )  )





class 						lowerCamelCase   (    lowercase__	):







					'''simple docstring'''







					def __init__(      self     ,						lowerCAmelCase     ,						lowerCAmelCase=None  ):
							super().__init__(UpperCamelCase_  )
							UpperCAmelCase_						       =					None if column_names is None else [column_names]
							UpperCAmelCase_						       =					None



					def  A__		(      self  ):
							UpperCAmelCase_						       =					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:
									UpperCAmelCase_						       =					disp.display(disp.HTML(self.html_code  )     ,						display_id=UpperCamelCase_  )
							else:
									self.output.update(disp.HTML(self.html_code  )  )



					def  A__		(      self     ,						lowerCAmelCase  ):
							if self.inner_table is None:
									UpperCAmelCase_						       =					[list(values.keys()  ), list(values.values()  )]
							else:
									UpperCAmelCase_						       =					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(UpperCamelCase_  )
											UpperCAmelCase_						       =					columns
									self.inner_table.append([values[c] for c in columns]  )



					def  A__		(      self     ,						lowerCAmelCase     ,						lowerCAmelCase=None     ,						lowerCAmelCase=300  ):
							UpperCAmelCase_						       =					NotebookProgressBar(UpperCamelCase_     ,						prefix=UpperCamelCase_     ,						parent=self     ,						width=UpperCamelCase_  )
							return self.child_bar



					def  A__		(      self  ):
							UpperCAmelCase_						       =					None
							self.display()





class 						lowerCamelCase   (    lowercase__	):







					'''simple docstring'''







					def __init__(      self  ):
							UpperCAmelCase_						       =					None
							UpperCAmelCase_						       =					None
							UpperCAmelCase_						       =					False



					def  A__		(      self     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						**lowerCAmelCase  ):
							UpperCAmelCase_						       =					"Epoch" if args.evaluation_strategy == IntervalStrategy.EPOCH else "Step"
							UpperCAmelCase_						       =					0
							UpperCAmelCase_						       =					0
							UpperCAmelCase_						       =					[self.first_column] + ["Training Loss"]
							if args.evaluation_strategy != IntervalStrategy.NO:
									column_names.append("Validation Loss"  )
							UpperCAmelCase_						       =					NotebookTrainingTracker(state.max_steps     ,						UpperCamelCase_  )



					def  A__		(      self     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						**lowerCAmelCase  ):
							UpperCAmelCase_						       =					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     ,						)
							UpperCAmelCase_						       =					False



					def  A__		(      self     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						lowerCAmelCase=None     ,						**lowerCAmelCase  ):
							if not has_length(UpperCamelCase_  ):
									return
							if self.prediction_bar is None:
									if self.training_tracker is not None:
											UpperCAmelCase_						       =					self.training_tracker.add_child(len(UpperCamelCase_  )  )
									else:
											UpperCAmelCase_						       =					NotebookProgressBar(len(UpperCamelCase_  )  )
									self.prediction_bar.update(1  )
							else:
									self.prediction_bar.update(self.prediction_bar.value + 1  )



					def  A__		(      self     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						**lowerCAmelCase  ):
							if self.prediction_bar is not None:
									self.prediction_bar.close()
							UpperCAmelCase_						       =					None



					def  A__		(      self     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						lowerCAmelCase=None     ,						**lowerCAmelCase  ):
							# Only for when there is no evaluation
							if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
									UpperCAmelCase_						       =					{"Training Loss": logs["loss"]}
									# First column is necessarily Step sine we're not in epoch eval strategy
									UpperCAmelCase_						       =					state.global_step
									self.training_tracker.write_line(UpperCamelCase_  )



					def  A__		(      self     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						lowerCAmelCase=None     ,						**lowerCAmelCase  ):
							if self.training_tracker is not None:
									UpperCAmelCase_						       =					{"Training Loss": "No log", "Validation Loss": "No log"}
									for log in reversed(state.log_history  ):
											if "loss" in log:
													UpperCAmelCase_						       =					log["loss"]
													break

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



					def  A__		(      self     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						lowerCAmelCase     ,						**lowerCAmelCase  ):
							self.training_tracker.update(
							    state.global_step     ,						comment=f'''Epoch {int(state.epoch  )}/{state.num_train_epochs}'''     ,						force_update=UpperCamelCase_  )
							UpperCAmelCase_						       =					None








'''simple docstring'''




from abc import ABC, abstractmethod
from argparse import ArgumentParser






class 				__snake_case     (					__magic_name__							):





	@staticmethod
	@abstractmethod
	def   _snake_case   (		UpperCamelCase_		)      ->		Dict:
		raise NotImplementedError()





	@abstractmethod
	def   _snake_case   (		self		)      ->		List[Any]:
		raise NotImplementedError()



