

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 (	__a      :			Any	)			->     Union[str, Any]:

					"""simple docstring"""

					_a	:    Union[str, Any]         =		int(__a	)
					_a      ,					_a      ,					_a	:    Any         =		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 (	__a      :			Any		,__a      :			Union[str, Any]		,__a      :			Optional[int]		,__a      :			Optional[int]		,__a      :			Any=300	)			->     List[Any]:

					"""simple docstring"""

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



def    __UpperCAmelCase (	__a      :			Optional[int]	)			->     str:

					"""simple docstring"""

					_a	:    Dict         =		'''<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	:    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_		:
							"""simple docstring"""







							UpperCAmelCase__       :						Optional[Any]	    =    5
							UpperCAmelCase__       :						List[str]	    =    0.2


							def __init__(			self       ,							_a       ,							_a = None       ,							_a = True       ,							_a = None       ,							_a = 3_0_0       ,							)    ->    List[str]:
												_a	:    Optional[int]         =		total
												_a	:    Tuple         =		'''''' if prefix is None else prefix
												_a	:    Any         =		leave
												_a	:    Any         =		parent
												_a	:    Optional[int]         =		width
												_a	:    Dict         =		None
												_a	:    Optional[int]         =		None
												_a	:    List[str]         =		None


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


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




							def 				__lowercase				(			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       ,							_a       ,							_a=None       )    ->    Dict:
												super().__init__(_a       )
												_a	:    str         =		None if column_names is None else [column_names]
												_a	:    Optional[Any]         =		None


							def 				__lowercase				(			self       )    ->    Union[str, Any]:
												_a	:    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:
																	_a	:    str         =		disp.display(disp.HTML(self.html_code       )       ,							display_id=_a       )
												else:
																	self.output.update(disp.HTML(self.html_code       )       )


							def 				__lowercase				(			self       ,							_a       )    ->    str:
												if self.inner_table is None:
																	_a	:    str         =		[list(values.keys()       ), list(values.values()       )]
												else:
																	_a	:    int         =		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(_a       )
																						_a	:    List[Any]         =		columns
																	self.inner_table.append([values[c] for c in columns]       )


							def 				__lowercase				(			self       ,							_a       ,							_a=None       ,							_a=3_0_0       )    ->    Optional[Any]:
												_a	:    List[str]         =		NotebookProgressBar(_a       ,							prefix=_a       ,							parent=self       ,							width=_a       )
												return self.child_bar




							def 				__lowercase				(			self       )    ->    Optional[int]:
												_a	:    List[Any]         =		None
												self.display()



class 				UpperCAmelCase_		(			__lowercase   ):
							"""simple docstring"""







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


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


							def 				__lowercase				(			self       ,							_a       ,							_a       ,							_a       ,							**_a       )    ->    str:
												_a	:    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       ,							)
												_a	:    List[Any]         =		False


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


							def 				__lowercase				(			self       ,							_a       ,							_a       ,							_a       ,							**_a       )    ->    Dict:
												if self.prediction_bar is not None:
																	self.prediction_bar.close()
												_a	:    Any         =		None


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


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

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




							def 				__lowercase				(			self       ,							_a       ,							_a       ,							_a       ,							**_a       )    ->    Tuple:
												self.training_tracker.update(
												    state.global_step       ,							comment=F"""Epoch {int(state.epoch       )}/{state.num_train_epochs}"""       ,							force_update=_a       )
												_a	:    Dict         =		None






def    __UpperCAmelCase (	__a      :			str	)			->     int:

					"""simple docstring"""

					assert column_title.isupper()
					_a	:    Optional[Any]         =		0
					_a	:    List[Any]         =		len(__a	) - 1
					_a	:    List[str]         =		0

					while index >= 0:
										_a	:    Dict         =		(ord(column_title[index]	) - 64) * pow(26		,__a	)
										answer += value
										power += 1
										index -= 1

					return answer


if __name__ == "__main__":
			from doctest import testmod

			testmod()



