

"""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       (      _lowerCAmelCase  :    Optional[int]			)					->      Optional[Any]:
	_UpperCAmelCase     :				Dict          =       int(A_			)
	_UpperCAmelCase     :				Optional[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    UpperCamelCase       (      _lowerCAmelCase  :    Union[str, Any],	_lowerCAmelCase  :    List[Any],	_lowerCAmelCase  :    Union[str, Any],	_lowerCAmelCase  :    str,	_lowerCAmelCase  :    Any=300			)					->      int:
	# docstyle-ignore
	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    UpperCamelCase       (      _lowerCAmelCase  :    List[str]			)					->      List[Any]:
	_UpperCAmelCase     :				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:
			_UpperCAmelCase     :				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      _UpperCAmelCase      :
			__a			:							List[Any]					       =				5
			__a			:							Union[str, Any]					       =				0.2
			def __init__(		self   ,		_A   ,		_A = None   ,		_A = True   ,		_A = None   ,		_A = 3_00   ,		)     ->     str:






				'''simple docstring'''







				_UpperCAmelCase     :				Union[str, Any]          =       total
				_UpperCAmelCase     :				Tuple          =       '''''' if prefix is None else prefix
				_UpperCAmelCase     :				str          =       leave
				_UpperCAmelCase     :				List[Any]          =       parent
				_UpperCAmelCase     :				Optional[int]          =       width
				_UpperCAmelCase     :				Any          =       None
				_UpperCAmelCase     :				str          =       None
				_UpperCAmelCase     :				Optional[int]          =       None
			def 				__snake_case			(		self   ,		_A   ,		_A = False   ,		_A = None  )     ->     Any:






				'''simple docstring'''







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






				'''simple docstring'''







				_UpperCAmelCase     :				Dict          =       ''' ''' * (len(str(self.total  )  ) - len(str(lowercase_  )  )) + str(lowercase_  )
				if self.elapsed_time is None:
					_UpperCAmelCase     :				Optional[Any]          =       f'''[{spaced_value}/{self.total} : < :'''
				elif self.predicted_remaining is None:
					_UpperCAmelCase     :				str          =       f'''[{spaced_value}/{self.total} {format_time(self.elapsed_time  )}'''
				else:
					_UpperCAmelCase     :				List[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 				__snake_case			(		self  )     ->     Optional[Any]:






				'''simple docstring'''







				_UpperCAmelCase     :				List[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:
					_UpperCAmelCase     :				str          =       disp.display(disp.HTML(self.html_code  )   ,		display_id=lowercase_  )
				else:
					self.output.update(disp.HTML(self.html_code  )  )
			def 				__snake_case			(		self  )     ->     Tuple:






				'''simple docstring'''







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






class      _UpperCAmelCase      (		a_):
			def __init__(		self   ,		_A   ,		_A=None  )     ->     Union[str, Any]:






				'''simple docstring'''







				super().__init__(lowercase_  )
				_UpperCAmelCase     :				Union[str, Any]          =       None if column_names is None else [column_names]
				_UpperCAmelCase     :				Dict          =       None
			def 				__snake_case			(		self  )     ->     List[Any]:






				'''simple docstring'''







				_UpperCAmelCase     :				List[str]          =       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     :				int          =       disp.display(disp.HTML(self.html_code  )   ,		display_id=lowercase_  )
				else:
					self.output.update(disp.HTML(self.html_code  )  )
			def 				__snake_case			(		self   ,		_A  )     ->     Any:






				'''simple docstring'''







				if self.inner_table is None:
					_UpperCAmelCase     :				List[str]          =       [list(values.keys()  ), list(values.values()  )]
				else:
					_UpperCAmelCase     :				Optional[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(lowercase_  )
						_UpperCAmelCase     :				List[Any]          =       columns
					self.inner_table.append([values[c] for c in columns]  )
			def 				__snake_case			(		self   ,		_A   ,		_A=None   ,		_A=3_00  )     ->     int:






				'''simple docstring'''







				_UpperCAmelCase     :				str          =       NotebookProgressBar(lowercase_   ,		prefix=lowercase_   ,		parent=self   ,		width=lowercase_  )
				return self.child_bar
			def 				__snake_case			(		self  )     ->     Optional[int]:






				'''simple docstring'''







				_UpperCAmelCase     :				Any          =       None
				self.display()






class      _UpperCAmelCase      (		a_):
			def __init__(		self  )     ->     List[Any]:






				'''simple docstring'''







				_UpperCAmelCase     :				List[str]          =       None
				_UpperCAmelCase     :				Any          =       None
				_UpperCAmelCase     :				Union[str, Any]          =       False
			def 				__snake_case			(		self   ,		_A   ,		_A   ,		_A   ,		**_A  )     ->     Dict:






				'''simple docstring'''







				_UpperCAmelCase     :				Union[str, Any]          =       '''Epoch''' if args.evaluation_strategy == IntervalStrategy.EPOCH else '''Step'''
				_UpperCAmelCase     :				Any          =       0
				_UpperCAmelCase     :				Optional[Any]          =       0
				_UpperCAmelCase     :				str          =       [self.first_column] + ['''Training Loss''']
				if args.evaluation_strategy != IntervalStrategy.NO:
					column_names.append("""Validation Loss"""  )
				_UpperCAmelCase     :				List[str]          =       NotebookTrainingTracker(state.max_steps   ,		lowercase_  )
			def 				__snake_case			(		self   ,		_A   ,		_A   ,		_A   ,		**_A  )     ->     List[Any]:






				'''simple docstring'''







				_UpperCAmelCase     :				int          =       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     :				Union[str, Any]          =       False
			def 				__snake_case			(		self   ,		_A   ,		_A   ,		_A   ,		_A=None   ,		**_A  )     ->     Tuple:






				'''simple docstring'''







				if not has_length(lowercase_  ):
					return
				if self.prediction_bar is None:
					if self.training_tracker is not None:
						_UpperCAmelCase     :				str          =       self.training_tracker.add_child(len(lowercase_  )  )
					else:
						_UpperCAmelCase     :				Dict          =       NotebookProgressBar(len(lowercase_  )  )
					self.prediction_bar.update(1  )
				else:
					self.prediction_bar.update(self.prediction_bar.value + 1  )
			def 				__snake_case			(		self   ,		_A   ,		_A   ,		_A   ,		**_A  )     ->     Union[str, Any]:






				'''simple docstring'''







				if self.prediction_bar is not None:
					self.prediction_bar.close()
				_UpperCAmelCase     :				Dict          =       None
			def 				__snake_case			(		self   ,		_A   ,		_A   ,		_A   ,		_A=None   ,		**_A  )     ->     List[Any]:






				'''simple docstring'''







				if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
					_UpperCAmelCase     :				Union[str, Any]          =       {'''Training Loss''': logs['''loss''']}
					# First column is necessarily Step sine we're not in epoch eval strategy
					_UpperCAmelCase     :				Optional[int]          =       state.global_step
					self.training_tracker.write_line(lowercase_  )
			def 				__snake_case			(		self   ,		_A   ,		_A   ,		_A   ,		_A=None   ,		**_A  )     ->     Union[str, Any]:






				'''simple docstring'''







				if self.training_tracker is not None:
					_UpperCAmelCase     :				Optional[Any]          =       {'''Training Loss''': '''No log''', '''Validation Loss''': '''No log'''}
					for log in reversed(state.log_history  ):
						if "loss" in log:
							_UpperCAmelCase     :				List[str]          =       log['''loss''']
							break

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






				'''simple docstring'''







				self.training_tracker.update(
				    state.global_step   ,		comment=f'''Epoch {int(state.epoch  )}/{state.num_train_epochs}'''   ,		force_update=lowercase_  )
				_UpperCAmelCase     :				Union[str, Any]          =       None








"""simple docstring"""





from __future__ import annotations

import math
from collections import Counter
from string import ascii_lowercase

def     __SCREAMING_SNAKE_CASE    ( A_					):
	lowerCAmelCase__							,lowerCAmelCase__      :		Dict    							=      analyze_text(A_					)
	lowerCAmelCase__      :		Any    							=      list(''' ''' + ascii_lowercase					)
	# what is our total sum of probabilities.
	lowerCAmelCase__      :		Optional[Any]    							=      sum(single_char_strings.values()					)

	# one length string
	lowerCAmelCase__      :		int    							=      0
	# for each alpha we go in our dict and if it is in it we calculate entropy
	for ch in my_alphas:
		if ch in single_char_strings:
			lowerCAmelCase__      :		Union[str, Any]    							=      single_char_strings[ch]
			lowerCAmelCase__      :		Dict    							=      my_str / all_sum
			my_fir_sum += prob * math.loga(A_					)  # entropy formula.

    # print entropy
	print(f'{round(-1 * my_fir_sum					):.1f}'					)

	# two len string
	lowerCAmelCase__      :		List[Any]    							=      sum(two_char_strings.values()					)
	lowerCAmelCase__      :		Optional[int]    							=      0
	# for each alpha (two in size) calculate entropy.
	for cha in my_alphas:
		for cha in my_alphas:
			lowerCAmelCase__      :		int    							=      cha + cha
			if sequence in two_char_strings:
				lowerCAmelCase__      :		Optional[Any]    							=      two_char_strings[sequence]
				lowerCAmelCase__      :		int    							=      int(A_					) / all_sum
				my_sec_sum += prob * math.loga(A_					)

    # print second entropy
	print(f'{round(-1 * my_sec_sum					):.1f}'					)

	# print the difference between them
	print(f'{round((-1 * my_sec_sum) - (-1 * my_fir_sum)					):.1f}'					)

def     __SCREAMING_SNAKE_CASE    ( A_					):
	lowerCAmelCase__      :		List[str]    							=      Counter()  # type: ignore
	lowerCAmelCase__      :		Optional[int]    							=      Counter()  # type: ignore
	single_char_strings[text[-1]] += 1

	# first case when we have space at start.
	two_char_strings[" " + text[0]] += 1
	for i in range(0		,	len(A_					) - 1					):
		single_char_strings[text[i]] += 1
		two_char_strings[text[i : i + 2]] += 1
	return single_char_strings, two_char_strings

def     __SCREAMING_SNAKE_CASE    ( ):
	import doctest

	doctest.testmod()
	# text = (
	#     "Had repulsive dashwoods suspicion sincerity but advantage now him. Remark "
	#     "easily garret nor nay. Civil those mrs enjoy shy fat merry. You greatest "
	#     "jointure saw horrible. He private he on be imagine suppose. Fertile "
	#     "beloved evident through no service elderly is. Blind there if every no so "
	#     "at. Own neglected you preferred way sincerity delivered his attempted. To "
	#     "of message cottage windows do besides against uncivil.  Delightful "
	#     "unreserved impossible few estimating men favourable see entreaties. She "
	#     "propriety immediate was improving. He or entrance humoured likewise "
	#     "moderate. Much nor game son say feel. Fat make met can must form into "
	#     "gate. Me we offending prevailed discovery. "
	# )

	# calculate_prob(text)


if __name__ == "__main__":
							main()




