

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     (lowerCAmelCase       :	Union[str, Any]  )  ->	List[Any]:
      A 			=					int(lowerCAmelCase  )
      A 			=					t // 3_600, (t // 60) % 60, t % 60
      return f'''{h}:{m:02d}:{s:02d}''' if h != 0 else f'''{m:02d}:{s:02d}'''


def       __UpperCamelCase     (lowerCAmelCase       :	List[Any],     lowerCAmelCase       :	int,     lowerCAmelCase       :	Any,     lowerCAmelCase       :	str,     lowerCAmelCase       :	List[str]=300  )  ->	List[str]:
      return f'''
    <div>
      {prefix}
      <progress value=\'{value}\' max=\'{total}\' style=\'width:{width}px; height:20px; vertical-align: middle;\'></progress>
      {label}
    </div>
    '''


def       __UpperCamelCase     (lowerCAmelCase       :	Optional[int]  )  ->	str:
      A 			=					'''<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:
                  A 			=					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 							_UpperCAmelCase			:
  '''simple docstring'''







  SCREAMING_SNAKE_CASE				:					Tuple          =					5
  SCREAMING_SNAKE_CASE				:					int          =					0.2







  def __init__(			self						:			Any		,    UpperCamelCase__						:			Dict		,    UpperCamelCase__						:			Optional[int] = None		,    UpperCamelCase__						:			List[Any] = True		,    UpperCamelCase__						:			Dict = None		,    UpperCamelCase__						:			int = 300		,    ):
        A 			=					total
        A 			=					'''''' if prefix is None else prefix
        A 			=					leave
        A 			=					parent
        A 			=					width
        A 			=					None
        A 			=					None
        A 			=					None







  def 						UpperCamelCase							(			self						:			Tuple		,    UpperCamelCase__						:			Union[str, Any]		,    UpperCamelCase__						:			Tuple = False		,    UpperCamelCase__						:			Tuple = None			):
        A 			=					value
        if comment is not None:
              A 			=					comment
        if self.last_value is None:
              A 			=					time.time()
              A 			=					value
              A 			=					None
              A 			=					self.warmup
              A 			=					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
              A 			=					time.time()
              A 			=					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:
                    A 			=					self.elapsed_time / (value - self.start_value)
              else:
                    A 			=					None
              if value >= self.total:
                    A 			=					self.total
                    A 			=					None
                    if not self.leave:
                          self.close()
              elif self.average_time_per_item is not None:
                    A 			=					self.average_time_per_item * (self.total - value)
              self.update_bar(__lowerCAmelCase			)
              A 			=					value
              A 			=					current_time
              if self.average_time_per_item is None:
                    A 			=					1
              else:
                    A 			=					max(int(self.update_every / self.average_time_per_item			)		,    1			)







  def 						UpperCamelCase							(			self						:			Dict		,    UpperCamelCase__						:			List[str]		,    UpperCamelCase__						:			Tuple=None			):
        A 			=					''' ''' * (len(str(self.total			)			) - len(str(__lowerCAmelCase			)			)) + str(__lowerCAmelCase			)
        if self.elapsed_time is None:
              A 			=					f'''[{spaced_value}/{self.total} : < :'''
        elif self.predicted_remaining is None:
              A 			=					f'''[{spaced_value}/{self.total} {format_time(self.elapsed_time			)}'''
        else:
              A 			=					(
                  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						:			Any			):
        A 			=					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:
              A 			=					disp.display(disp.HTML(self.html_code			)		,    display_id=__lowerCAmelCase			)
        else:
              self.output.update(disp.HTML(self.html_code			)			)







  def 						UpperCamelCase							(			self						:			List[Any]			):
        if self.parent is None and self.output is not None:
              self.output.update(disp.HTML(''			)			)



class 							_UpperCAmelCase			( __lowercase      ):
  '''simple docstring'''







  def __init__(			self						:			Any		,    UpperCamelCase__						:			List[Any]		,    UpperCamelCase__						:			Union[str, Any]=None			):
        super().__init__(__lowerCAmelCase			)
        A 			=					None if column_names is None else [column_names]
        A 			=					None







  def 						UpperCamelCase							(			self						:			List[Any]			):
        A 			=					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:
              A 			=					disp.display(disp.HTML(self.html_code			)		,    display_id=__lowerCAmelCase			)
        else:
              self.output.update(disp.HTML(self.html_code			)			)







  def 						UpperCamelCase							(			self						:			Optional[int]		,    UpperCamelCase__						:			List[str]			):
        if self.inner_table is None:
              A 			=					[list(values.keys()			), list(values.values()			)]
        else:
              A 			=					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			)
                    A 			=					columns
              self.inner_table.append([values[c] for c in columns]			)







  def 						UpperCamelCase							(			self						:			Any		,    UpperCamelCase__						:			Any		,    UpperCamelCase__						:			Dict=None		,    UpperCamelCase__						:			List[Any]=300			):
        A 			=					NotebookProgressBar(__lowerCAmelCase		,    prefix=__lowerCAmelCase		,    parent=self		,    width=__lowerCAmelCase			)
        return self.child_bar







  def 						UpperCamelCase							(			self						:			Dict			):
        A 			=					None
        self.display()



class 							_UpperCAmelCase			( __lowercase      ):
  '''simple docstring'''







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







  def 						UpperCamelCase							(			self						:			Union[str, Any]		,    UpperCamelCase__						:			List[str]		,    UpperCamelCase__						:			Dict		,    UpperCamelCase__						:			int		,    **UpperCamelCase__						:			Any			):
        A 			=					'''Epoch''' if args.evaluation_strategy == IntervalStrategy.EPOCH else '''Step'''
        A 			=					0
        A 			=					0
        A 			=					[self.first_column] + ['''Training Loss''']
        if args.evaluation_strategy != IntervalStrategy.NO:
              column_names.append('Validation Loss'			)
        A 			=					NotebookTrainingTracker(state.max_steps		,    __lowerCAmelCase			)







  def 						UpperCamelCase							(			self						:			Dict		,    UpperCamelCase__						:			Optional[Any]		,    UpperCamelCase__						:			Tuple		,    UpperCamelCase__						:			int		,    **UpperCamelCase__						:			Union[str, Any]			):
        A 			=					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		,    )
        A 			=					False







  def 						UpperCamelCase							(			self						:			Optional[Any]		,    UpperCamelCase__						:			Union[str, Any]		,    UpperCamelCase__						:			List[str]		,    UpperCamelCase__						:			List[str]		,    UpperCamelCase__						:			Optional[int]=None		,    **UpperCamelCase__						:			Dict			):
        if not has_length(__lowerCAmelCase			):
              return
        if self.prediction_bar is None:
              if self.training_tracker is not None:
                    A 			=					self.training_tracker.add_child(len(__lowerCAmelCase			)			)
              else:
                    A 			=					NotebookProgressBar(len(__lowerCAmelCase			)			)
              self.prediction_bar.update(1			)
        else:
              self.prediction_bar.update(self.prediction_bar.value + 1			)







  def 						UpperCamelCase							(			self						:			Tuple		,    UpperCamelCase__						:			Any		,    UpperCamelCase__						:			Optional[Any]		,    UpperCamelCase__						:			int		,    **UpperCamelCase__						:			Tuple			):
        if self.prediction_bar is not None:
              self.prediction_bar.close()
        A 			=					None







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







  def 						UpperCamelCase							(			self						:			Tuple		,    UpperCamelCase__						:			Dict		,    UpperCamelCase__						:			Union[str, Any]		,    UpperCamelCase__						:			int		,    UpperCamelCase__						:			List[str]=None		,    **UpperCamelCase__						:			Tuple			):
        if self.training_tracker is not None:
              A 			=					{'''Training Loss''': '''No log''', '''Validation Loss''': '''No log'''}
              for log in reversed(state.log_history			):
                    if "loss" in log:
                          A 			=					log['''loss''']
                          break

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







  def 						UpperCamelCase							(			self						:			int		,    UpperCamelCase__						:			Optional[Any]		,    UpperCamelCase__						:			List[Any]		,    UpperCamelCase__						:			Dict		,    **UpperCamelCase__						:			int			):
        self.training_tracker.update(
            state.global_step		,    comment=f'''Epoch {int(state.epoch			)}/{state.num_train_epochs}'''		,    force_update=__lowerCAmelCase			)
        A 			=					None











from __future__ import annotations

def   __lowercase       (			snake_case,	snake_case			):







				"""simple docstring"""






				print(f'''Vertex\tShortest Distance from vertex {src}'''			)
				for i, d in enumerate(snake_case			):
								print(f'''{i}\t\t{d}'''			)

def   __lowercase       (			snake_case,	snake_case,	snake_case			):







				"""simple docstring"""






				for j in range(snake_case			):
								__magic_name__  ,					__magic_name__  ,					__magic_name__		:Tuple   =   (graph[j][k] for k in ['''src''', '''dst''', '''weight'''])
								if distance[u] != float('''inf'''			) and distance[u] + w < distance[v]:
												return True
				return False

def   __lowercase       (			snake_case,	snake_case,	snake_case,	snake_case			):







				"""simple docstring"""






				__magic_name__		:List[Any]   =   [float('''inf'''			)] * vertex_count
				__magic_name__		:Tuple   =   0.0

				for _ in range(vertex_count - 1			):
								for j in range(snake_case			):
												__magic_name__  ,					__magic_name__  ,					__magic_name__		:Dict   =   (graph[j][k] for k in ['''src''', '''dst''', '''weight'''])

												if distance[u] != float('''inf'''			) and distance[u] + w < distance[v]:
																__magic_name__		:Tuple   =   distance[u] + w

				__magic_name__		:Tuple   =   check_negative_cycle(snake_case,	snake_case,	snake_case			)
				if negative_cycle_exists:
								raise Exception('''Negative cycle found'''			)

				return distance


if __name__ == "__main__":
					import doctest

					doctest.testmod()

					SCREAMING_SNAKE_CASE__   :      Tuple				=		int(input("""Enter number of vertices: """).strip())
					SCREAMING_SNAKE_CASE__   :      Any				=		int(input("""Enter number of edges: """).strip())

					SCREAMING_SNAKE_CASE__   :      list[dict[str, int]]				=		[{} for _ in range(E)]

					for i in range(E):
										print("""Edge """, i + 1)
										SCREAMING_SNAKE_CASE__				,       SCREAMING_SNAKE_CASE__				,       SCREAMING_SNAKE_CASE__   :      Dict				=		(
										    int(x)
										    for x in input("""Enter source, destination, weight: """).strip().split(""" """)
										)
										SCREAMING_SNAKE_CASE__   :      Dict				=		{"""src""": src, """dst""": dest, """weight""": weight}

					SCREAMING_SNAKE_CASE__   :      List[Any]				=		int(input("""\nEnter shortest path source:""").strip())
					SCREAMING_SNAKE_CASE__   :      List[str]				=		bellman_ford(graph, V, E, source)
					print_distance(shortest_distance, 0)






