


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_   (	_a	):




		"""simple docstring"""






		lowerCAmelCase__       :      List[Any]   					= int(_a	)
		lowerCAmelCase__					,     lowerCAmelCase__					,     lowerCAmelCase__       :      Optional[int]   					= 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 					lowerCamelCase_   (	_a     ,       _a     ,       _a     ,       _a     ,       _a=300	):




		"""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_   (	_a	):




		"""simple docstring"""






		lowerCAmelCase__       :      Union[str, Any]   					= '''<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__       :      List[Any]   					= f'{elt:.6f}' if isinstance(_a     ,       _a	) else str(_a	)
						html_code += f'      <td>{elt}</td>\n'
				html_code += "    </tr>\n"
		html_code += "  </tbody>\n</table><p>"
		return html_code





class  _a							:
	_a  :  List[str]				   =							5
	_a  :  int				   =							0.2




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




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




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




	def 							UpperCAmelCase__( self						:		Any		)->	Optional[int]:
			if self.parent is None and self.output is not None:
					self.output.update(disp.HTML(''''''		)		)





class  _a							(    _lowercase):




	def __init__( self						:		Any		, _SCREAMING_SNAKE_CASE						:		List[str]		, _SCREAMING_SNAKE_CASE						:		List[Any]=None		)->	int:
			super().__init__(_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      int   					= None if column_names is None else [column_names]
			lowerCAmelCase__       :      Any   					= None




	def 							UpperCAmelCase__( self						:		Optional[int]		)->	List[Any]:
			lowerCAmelCase__       :      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:
					lowerCAmelCase__       :      str   					= disp.display(disp.HTML(self.html_code		)		, display_id=_SCREAMING_SNAKE_CASE		)
			else:
					self.output.update(disp.HTML(self.html_code		)		)




	def 							UpperCAmelCase__( self						:		str		, _SCREAMING_SNAKE_CASE						:		Optional[Any]		)->	Union[str, Any]:
			if self.inner_table is None:
					lowerCAmelCase__       :      Optional[Any]   					= [list(values.keys()		), list(values.values()		)]
			else:
					lowerCAmelCase__       :      List[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(_SCREAMING_SNAKE_CASE		)
							lowerCAmelCase__       :      List[Any]   					= columns
					self.inner_table.append([values[c] for c in columns]		)




	def 							UpperCAmelCase__( self						:		str		, _SCREAMING_SNAKE_CASE						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		Union[str, Any]=None		, _SCREAMING_SNAKE_CASE						:		int=300		)->	Tuple:
			lowerCAmelCase__       :      Any   					= NotebookProgressBar(_SCREAMING_SNAKE_CASE		, prefix=_SCREAMING_SNAKE_CASE		, parent=self		, width=_SCREAMING_SNAKE_CASE		)
			return self.child_bar




	def 							UpperCAmelCase__( self						:		List[str]		)->	List[str]:
			lowerCAmelCase__       :      int   					= None
			self.display()





class  _a							(    _lowercase):




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




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




	def 							UpperCAmelCase__( self						:		List[Any]		, _SCREAMING_SNAKE_CASE						:		Dict		, _SCREAMING_SNAKE_CASE						:		Optional[int]		, _SCREAMING_SNAKE_CASE						:		Tuple		, **_SCREAMING_SNAKE_CASE						:		Tuple		)->	Dict:
			lowerCAmelCase__       :      List[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		, )
			lowerCAmelCase__       :      Tuple   					= False




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




	def 							UpperCAmelCase__( self						:		Dict		, _SCREAMING_SNAKE_CASE						:		Any		, _SCREAMING_SNAKE_CASE						:		Optional[int]		, _SCREAMING_SNAKE_CASE						:		int		, **_SCREAMING_SNAKE_CASE						:		Union[str, Any]		)->	Dict:
			if self.prediction_bar is not None:
					self.prediction_bar.close()
			lowerCAmelCase__       :      Union[str, Any]   					= None




	def 							UpperCAmelCase__( self						:		int		, _SCREAMING_SNAKE_CASE						:		int		, _SCREAMING_SNAKE_CASE						:		str		, _SCREAMING_SNAKE_CASE						:		Optional[int]		, _SCREAMING_SNAKE_CASE						:		Union[str, Any]=None		, **_SCREAMING_SNAKE_CASE						:		List[Any]		)->	Union[str, Any]:
			# Only for when there is no evaluation
			if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
					lowerCAmelCase__       :      List[Any]   					= {'''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(_SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		Optional[Any]		, _SCREAMING_SNAKE_CASE						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		Dict		, _SCREAMING_SNAKE_CASE						:		Optional[Any]		, _SCREAMING_SNAKE_CASE						:		str=None		, **_SCREAMING_SNAKE_CASE						:		List[str]		)->	Any:
			if self.training_tracker is not None:
					lowerCAmelCase__       :      List[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__       :      List[str]   					= int(state.epoch		)
					else:
							lowerCAmelCase__       :      Tuple   					= state.global_step
					lowerCAmelCase__       :      str   					= '''eval'''
					for k in metrics:
							if k.endswith('''_loss'''		):
									lowerCAmelCase__       :      Union[str, Any]   					= re.sub(r'''\_loss$'''		, ''''''		, _SCREAMING_SNAKE_CASE		)
					lowerCAmelCase__       :      List[str]   					= metrics.pop('''total_flos'''		, _SCREAMING_SNAKE_CASE		)
					lowerCAmelCase__       :      int   					= metrics.pop('''epoch'''		, _SCREAMING_SNAKE_CASE		)
					lowerCAmelCase__       :      Tuple   					= metrics.pop(F'{metric_key_prefix}_runtime'		, _SCREAMING_SNAKE_CASE		)
					lowerCAmelCase__       :      Optional[int]   					= metrics.pop(F'{metric_key_prefix}_samples_per_second'		, _SCREAMING_SNAKE_CASE		)
					lowerCAmelCase__       :      str   					= metrics.pop(F'{metric_key_prefix}_steps_per_second'		, _SCREAMING_SNAKE_CASE		)
					lowerCAmelCase__       :      Union[str, Any]   					= metrics.pop(F'{metric_key_prefix}_jit_compilation_time'		, _SCREAMING_SNAKE_CASE		)
					for k, v in metrics.items():
							if k == F'{metric_key_prefix}_loss':
									lowerCAmelCase__       :      Optional[Any]   					= v
							else:
									lowerCAmelCase__       :      List[Any]   					= k.split('''_'''		)
									lowerCAmelCase__       :      int   					= ''' '''.join([part.capitalize() for part in splits[1:]]		)
									lowerCAmelCase__       :      List[Any]   					= v
					self.training_tracker.write_line(_SCREAMING_SNAKE_CASE		)
					self.training_tracker.remove_child()
					lowerCAmelCase__       :      Optional[int]   					= None
					# Evaluation takes a long time so we should force the next update.
					lowerCAmelCase__       :      Any   					= True




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








import random

from .binary_exp_mod import bin_exp_mod






def 					lowerCamelCase_   (	_a     ,       _a=1_000	):




		"""simple docstring"""






		if n < 2:
				return False

		if n % 2 == 0:
				return n == 2

		# this means n is odd
		lowerCAmelCase__       :      int   					= n - 1
		lowerCAmelCase__       :      Any   					= 0
		while d % 2 == 0:
				d /= 2
				exp += 1

		# n - 1=d*(2**exp)
		lowerCAmelCase__       :      Optional[Any]   					= 0
		while count < prec:
				lowerCAmelCase__       :      Optional[Any]   					= random.randint(2     ,       n - 1	)
				lowerCAmelCase__       :      List[Any]   					= bin_exp_mod(_a     ,       _a     ,       _a	)
				if b != 1:
						lowerCAmelCase__       :      Dict   					= True
						for _ in range(_a	):
								if b == n - 1:
										lowerCAmelCase__       :      Union[str, Any]   					= False
										break
								lowerCAmelCase__       :      Tuple   					= b * b
								b %= n
						if flag:
								return False
						count += 1
		return True


if __name__ == "__main__":
		lowerCamelCase						=		abs(int(input('''Enter bound : ''').strip()))
		print('''Here\'s the list of primes:''')
		print(''', '''.join(str(i) for i in range(n + 1) if is_prime_big(i)))




