






"""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 						__lowerCamelCase      (    __UpperCamelCase			)		->       Any:

		"""simple docstring"""







		lowerCAmelCase_  :				List[str]   							=     int(__SCREAMING_SNAKE_CASE			)
		lowerCAmelCase_  :				Union[str, Any]   							=     t // 3600, (t // 60) % 60, t % 60
		return f'''{h}:{m:02d}:{s:02d}''' if h != 0 else f'''{m:02d}:{s:02d}'''

def 						__lowerCamelCase      (    __UpperCamelCase ,			__UpperCamelCase ,			__UpperCamelCase ,			__UpperCamelCase ,			__UpperCamelCase=300			)		->       List[Any]:

		"""simple docstring"""







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

def 						__lowerCamelCase      (    __UpperCamelCase			)		->       int:

		"""simple docstring"""







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


class 						__lowerCamelCase							:





		'''simple docstring'''






		a_      :							Optional[Any]  =				5
		a_      :							Union[str, Any]  =				0.2





		def __init__(  self				:      Optional[int]		,     a_				:      int		,     a_				:      Optional[str] = None		,     a_				:      bool = True		,     a_				:      Optional["NotebookTrainingTracker"] = None		,     a_				:      int = 3_00		,     ):
				lowerCAmelCase_  :				int   							=     total
				lowerCAmelCase_  :				Tuple   							=     '' if prefix is None else prefix
				lowerCAmelCase_  :				Optional[Any]   							=     leave
				lowerCAmelCase_  :				Optional[int]   							=     parent
				lowerCAmelCase_  :				Optional[Any]   							=     width
				lowerCAmelCase_  :				List[str]   							=     None
				lowerCAmelCase_  :				Union[str, Any]   							=     None
				lowerCAmelCase_  :				Dict   							=     None





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





		def   lowerCamelCase			(  self				:      Dict		,     a_				:      Tuple		,     a_				:      str=None      ):
				lowerCAmelCase_  :				Tuple   							=     ' ' * (len(str(self.total      )      ) - len(str(__lowerCamelCase      )      )) + str(__lowerCamelCase      )
				if self.elapsed_time is None:
						lowerCAmelCase_  :				Union[str, Any]   							=     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_  :				List[str]   							=     (
						    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   lowerCamelCase			(  self				:      List[str]      ):
				lowerCAmelCase_  :				Union[str, 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:
						lowerCAmelCase_  :				List[Any]   							=     disp.display(disp.HTML(self.html_code      )		,     display_id=__lowerCamelCase      )
				else:
						self.output.update(disp.HTML(self.html_code      )      )





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







class 						__lowerCamelCase							(					lowerCAmelCase_     ):





		'''simple docstring'''






		def __init__(  self				:      Any		,     a_				:      Union[str, Any]		,     a_				:      int=None      ):
				super().__init__(__lowerCamelCase      )
				lowerCAmelCase_  :				Tuple   							=     None if column_names is None else [column_names]
				lowerCAmelCase_  :				Dict   							=     None





		def   lowerCamelCase			(  self				:      List[Any]      ):
				lowerCAmelCase_  :				Tuple   							=     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_  :				Optional[int]   							=     disp.display(disp.HTML(self.html_code      )		,     display_id=__lowerCamelCase      )
				else:
						self.output.update(disp.HTML(self.html_code      )      )





		def   lowerCamelCase			(  self				:      Union[str, Any]		,     a_				:      Union[str, Any]      ):
				if self.inner_table is None:
						lowerCAmelCase_  :				Optional[int]   							=     [list(values.keys()      ), list(values.values()      )]
				else:
						lowerCAmelCase_  :				List[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      )
								lowerCAmelCase_  :				Optional[int]   							=     columns
						self.inner_table.append([values[c] for c in columns]      )





		def   lowerCamelCase			(  self				:      Optional[int]		,     a_				:      List[Any]		,     a_				:      str=None		,     a_				:      List[Any]=3_00      ):
				lowerCAmelCase_  :				Optional[int]   							=     NotebookProgressBar(__lowerCamelCase		,     prefix=__lowerCamelCase		,     parent=self		,     width=__lowerCamelCase      )
				return self.child_bar





		def   lowerCamelCase			(  self				:      Optional[Any]      ):
				lowerCAmelCase_  :				List[str]   							=     None
				self.display()







class 						__lowerCamelCase							(					lowerCAmelCase_     ):





		'''simple docstring'''






		def __init__(  self				:      Optional[int]      ):
				lowerCAmelCase_  :				Any   							=     None
				lowerCAmelCase_  :				Optional[int]   							=     None
				lowerCAmelCase_  :				Optional[Any]   							=     False





		def   lowerCamelCase			(  self				:      Any		,     a_				:      str		,     a_				:      Union[str, Any]		,     a_				:      Tuple		,     **a_				:      str      ):
				lowerCAmelCase_  :				Union[str, Any]   							=     'Epoch' if args.evaluation_strategy == IntervalStrategy.EPOCH else 'Step'
				lowerCAmelCase_  :				str   							=     0
				lowerCAmelCase_  :				List[Any]   							=     0
				lowerCAmelCase_  :				Optional[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   lowerCamelCase			(  self				:      int		,     a_				:      List[Any]		,     a_				:      Any		,     a_				:      Tuple		,     **a_				:      List[Any]      ):
				lowerCAmelCase_  :				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		,     )
				lowerCAmelCase_  :				str   							=     False





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





		def   lowerCamelCase			(  self				:      List[str]		,     a_				:      Union[str, Any]		,     a_				:      str		,     a_				:      Optional[Any]		,     **a_				:      List[str]      ):
				if self.prediction_bar is not None:
						self.prediction_bar.close()
				lowerCAmelCase_  :				Union[str, Any]   							=     None





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





		def   lowerCamelCase			(  self				:      List[Any]		,     a_				:      Optional[int]		,     a_				:      Dict		,     a_				:      List[str]		,     a_				:      List[Any]=None		,     **a_				:      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_  :				List[str]   							=     log['loss']
										break

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





		def   lowerCamelCase			(  self				:      Optional[int]		,     a_				:      str		,     a_				:      Optional[int]		,     a_				:      str		,     **a_				:      str      ):
				self.training_tracker.update(
				    state.global_step		,     comment=f'''Epoch {int(state.epoch      )}/{state.num_train_epochs}'''		,     force_update=__lowerCamelCase      )
				lowerCAmelCase_  :				Any   							=     None






'''simple docstring'''






import functools






def 		UpperCamelCase__      (		__SCREAMING_SNAKE_CASE				,      __SCREAMING_SNAKE_CASE		)    ->   int:
      snake_case__       :   Any	      =    len(__SCREAMING_SNAKE_CASE		)
      snake_case__       :   List[str]	      =    len(__SCREAMING_SNAKE_CASE		)

      @functools.cache
      def min_distance(__SCREAMING_SNAKE_CASE				,      __SCREAMING_SNAKE_CASE		) -> int:
            # if first word index is overflow - delete all from the second word
            if indexa >= len_worda:
                  return len_worda - indexa
            # if second word index is overflow - delete all from the first word
            if indexa >= len_worda:
                  return len_worda - indexa
            snake_case__       :   Union[str, Any]	      =    int(worda[indexa] != worda[indexa]		)  # current letters not identical
            return min(
                1 + min_distance(indexa + 1				,      __SCREAMING_SNAKE_CASE		)				,      1 + min_distance(__SCREAMING_SNAKE_CASE				,      indexa + 1		)				,      diff + min_distance(indexa + 1				,      indexa + 1		)				,      )

      return min_distance(0				,      0		)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
