




"""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      __UpperCAmelCase     ( __UpperCamelCase	):
			__lowercase			:  str								=       int(_snake_case	)
			__lowercase			,__lowercase			,__lowercase			:  int								=       t // 36_00, (t // 60) % 60, t % 60
			return f"""{h}:{m:02d}:{s:02d}""" if h != 0 else f"""{m:02d}:{s:02d}"""







def      __UpperCAmelCase     ( __UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase=3_00	):
			# docstyle-ignore
			return f"""
    <div>
      {prefix}
      <progress value=\'{value}\' max=\'{total}\' style=\'width:{width}px; height:20px; vertical-align: middle;\'></progress>
      {label}
    </div>
    """







def      __UpperCAmelCase     ( __UpperCamelCase	):
			__lowercase			:  Optional[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:
									__lowercase			:  Tuple								=       f"""{elt:.6f}""" if isinstance(_snake_case	,				_snake_case	) else str(_snake_case	)
									html_code += f"""      <td>{elt}</td>\n"""
						html_code += "    </tr>\n"
			html_code += "  </tbody>\n</table><p>"
			return html_code

class   UpperCAmelCase_    :
		UpperCamelCase							=5
		UpperCamelCase							=0.2
		def __init__(						self				,						UpperCamelCase_				,						UpperCamelCase_ = None				,						UpperCamelCase_ = True				,						UpperCamelCase_ = None				,						UpperCamelCase_ = 3_00				,						)						->       Optional[int]:
					__lowercase			:  Optional[Any]								=       total
					__lowercase			:  Tuple								=       '''''' if prefix is None else prefix
					__lowercase			:  Tuple								=       leave
					__lowercase			:  List[Any]								=       parent
					__lowercase			:  Dict								=       width
					__lowercase			:  Dict								=       None
					__lowercase			:  str								=       None
					__lowercase			:  Optional[Any]								=       None
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_				,						UpperCamelCase_ = False				,						UpperCamelCase_ = None       )						->       str:
					__lowercase			:  List[str]								=       value
					if comment is not None:
								__lowercase			:  int								=       comment
					if self.last_value is None:
								__lowercase			:  Tuple								=       time.time()
								__lowercase			:  Dict								=       value
								__lowercase			:  Any								=       None
								__lowercase			:  List[Any]								=       self.warmup
								__lowercase			:  Optional[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
								__lowercase			:  Any								=       time.time()
								__lowercase			:  List[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:
											__lowercase			:  Any								=       self.elapsed_time / (value - self.start_value)
								else:
											__lowercase			:  Optional[Any]								=       None
								if value >= self.total:
											__lowercase			:  int								=       self.total
											__lowercase			:  Dict								=       None
											if not self.leave:
														self.close()
								elif self.average_time_per_item is not None:
											__lowercase			:  Tuple								=       self.average_time_per_item * (self.total - value)
								self.update_bar(__lowerCAmelCase       )
								__lowercase			:  int								=       value
								__lowercase			:  List[Any]								=       current_time
								if self.average_time_per_item is None:
											__lowercase			:  Union[str, Any]								=       1
								else:
											__lowercase			:  Optional[Any]								=       max(int(self.update_every / self.average_time_per_item       )				,						1       )
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_				,						UpperCamelCase_=None       )						->       List[Any]:
					__lowercase			:  List[str]								=       ''' ''' * (len(str(self.total       )       ) - len(str(__lowerCAmelCase       )       )) + str(__lowerCAmelCase       )
					if self.elapsed_time is None:
								__lowercase			:  List[Any]								=       F"""[{spaced_value}/{self.total} : < :"""
					elif self.predicted_remaining is None:
								__lowercase			:  Optional[Any]								=       F"""[{spaced_value}/{self.total} {format_time(self.elapsed_time       )}"""
					else:
								__lowercase			:  Optional[Any]								=       (
								    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       )						->       Union[str, Any]:
					__lowercase			:  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:
								__lowercase			:  Union[str, 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   UpperCAmelCase_    (			_A		):
		def __init__(						self				,						UpperCamelCase_				,						UpperCamelCase_=None       )						->       Optional[int]:
					super().__init__(__lowerCAmelCase       )
					__lowercase			:  Optional[int]								=       None if column_names is None else [column_names]
					__lowercase			:  Optional[int]								=       None
		def 	_lowerCamelCase							(						self       )						->       int:
					__lowercase			:  Dict								=       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:
								__lowercase			:  List[Any]								=       disp.display(disp.HTML(self.html_code       )				,						display_id=__lowerCAmelCase       )
					else:
								self.output.update(disp.HTML(self.html_code       )       )
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_       )						->       int:
					if self.inner_table is None:
								__lowercase			:  int								=       [list(values.keys()       ), list(values.values()       )]
					else:
								__lowercase			:  str								=       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       )
											__lowercase			:  Dict								=       columns
								self.inner_table.append([values[c] for c in columns]       )
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_				,						UpperCamelCase_=None				,						UpperCamelCase_=3_00       )						->       Optional[int]:
					__lowercase			:  Union[str, Any]								=       NotebookProgressBar(__lowerCAmelCase				,						prefix=__lowerCAmelCase				,						parent=self				,						width=__lowerCAmelCase       )
					return self.child_bar
		def 	_lowerCamelCase							(						self       )						->       int:
					__lowercase			:  Optional[int]								=       None
					self.display()


class   UpperCAmelCase_    (			_A		):
		def __init__(						self       )						->       Tuple:
					__lowercase			:  int								=       None
					__lowercase			:  int								=       None
					__lowercase			:  Union[str, Any]								=       False
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_				,						UpperCamelCase_				,						UpperCamelCase_				,						**UpperCamelCase_       )						->       Tuple:
					__lowercase			:  Dict								=       '''Epoch''' if args.evaluation_strategy == IntervalStrategy.EPOCH else '''Step'''
					__lowercase			:  str								=       0
					__lowercase			:  Optional[Any]								=       0
					__lowercase			:  int								=       [self.first_column] + ['''Training Loss''']
					if args.evaluation_strategy != IntervalStrategy.NO:
								column_names.append('''Validation Loss'''       )
					__lowercase			:  Optional[int]								=       NotebookTrainingTracker(state.max_steps				,						__lowerCAmelCase       )
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_				,						UpperCamelCase_				,						UpperCamelCase_				,						**UpperCamelCase_       )						->       Tuple:
					__lowercase			:  Union[str, Any]								=       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				,						)
					__lowercase			:  Union[str, Any]								=       False
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_				,						UpperCamelCase_				,						UpperCamelCase_				,						UpperCamelCase_=None				,						**UpperCamelCase_       )						->       Union[str, Any]:
					if not has_length(__lowerCAmelCase       ):
								return
					if self.prediction_bar is None:
								if self.training_tracker is not None:
											__lowercase			:  List[str]								=       self.training_tracker.add_child(len(__lowerCAmelCase       )       )
								else:
											__lowercase			:  Union[str, Any]								=       NotebookProgressBar(len(__lowerCAmelCase       )       )
								self.prediction_bar.update(1       )
					else:
								self.prediction_bar.update(self.prediction_bar.value + 1       )
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_				,						UpperCamelCase_				,						UpperCamelCase_				,						**UpperCamelCase_       )						->       Optional[int]:
					if self.prediction_bar is not None:
								self.prediction_bar.close()
					__lowercase			:  List[str]								=       None
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_				,						UpperCamelCase_				,						UpperCamelCase_				,						UpperCamelCase_=None				,						**UpperCamelCase_       )						->       List[Any]:
					# Only for when there is no evaluation
					if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
								__lowercase			:  Optional[int]								=       {'''Training Loss''': logs['''loss''']}
								# First column is necessarily Step sine we're not in epoch eval strategy
								__lowercase			:  Optional[int]								=       state.global_step
								self.training_tracker.write_line(__lowerCAmelCase       )
		def 	_lowerCamelCase							(						self				,						UpperCamelCase_				,						UpperCamelCase_				,						UpperCamelCase_				,						UpperCamelCase_=None				,						**UpperCamelCase_       )						->       str:
					if self.training_tracker is not None:
								__lowercase			:  Tuple								=       {'''Training Loss''': '''No log''', '''Validation Loss''': '''No log'''}
								for log in reversed(state.log_history       ):
											if "loss" in log:
														__lowercase			:  List[Any]								=       log['''loss''']
														break

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








from graphs.minimum_spanning_tree_kruskal import kruskal

def 	SCREAMING_SNAKE_CASE_							(	)  ->     Tuple:
   _A      =       9
   _A      =       [
       [0, 1, 4],
       [0, 7, 8],
       [1, 2, 8],
       [7, 8, 7],
       [7, 6, 1],
       [2, 8, 2],
       [8, 6, 6],
       [2, 3, 7],
       [2, 5, 4],
       [6, 5, 2],
       [3, 5, 14],
       [3, 4, 9],
       [5, 4, 10],
       [1, 7, 11],
   ]

   _A      =       kruskal(_snake_case	,   _snake_case				)

   _A      =       [
       [7, 6, 1],
       [2, 8, 2],
       [6, 5, 2],
       [0, 1, 4],
       [2, 5, 4],
       [2, 3, 7],
       [0, 7, 8],
       [3, 4, 9],
   ]

   assert sorted(_snake_case				) == sorted(_snake_case				)



