



'''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    __lowerCamelCase						(      _lowercase	)   ->    Optional[int]:
							UpperCAmelCase  :	Dict							  =	int(_lowercase	)
							UpperCAmelCase  ,  UpperCAmelCase  ,  UpperCAmelCase  :	int							  =	t // 3_6_0_0, (t // 6_0) % 6_0, t % 6_0
							return F'''{h}:{m:02d}:{s:02d}''' if h != 0 else F'''{m:02d}:{s:02d}'''



def    __lowerCamelCase						(      _lowercase			,       _lowercase			,       _lowercase			,       _lowercase			,       _lowercase=3_0_0	)   ->    Union[str, Any]:
							# docstyle-ignore
							return F'''
    <div>
      {prefix}
      <progress value=\'{value}\' max=\'{total}\' style=\'width:{width}px; height:20px; vertical-align: middle;\'></progress>
      {label}
    </div>
    '''



def    __lowerCamelCase						(      _lowercase	)   ->    Dict:
							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  :	str							  =	F'''{elt:.6f}''' if isinstance(_lowercase			,       _lowercase	) else str(_lowercase	)
																					html_code += F'''      <td>{elt}</td>\n'''
														html_code += "    </tr>\n"
							html_code += "  </tbody>\n</table><p>"
							return html_code

class     UpperCamelCase_				:
	lowercase    =				5
	lowercase    =				0.2





	def __init__(						self	,	A	,	A = None	,	A = True	,	A = None	,	A = 300	,	)    ->    int:
								UpperCAmelCase  :	Tuple							  =	total
								UpperCAmelCase  :	Any							  =	"""""" if prefix is None else prefix
								UpperCAmelCase  :	Dict							  =	leave
								UpperCAmelCase  :	Union[str, Any]							  =	parent
								UpperCAmelCase  :	Optional[int]							  =	width
								UpperCAmelCase  :	str							  =	None
								UpperCAmelCase  :	int							  =	None
								UpperCAmelCase  :	Optional[Any]							  =	None





	def 				_lowercase(						self	,	A	,	A = False	,	A = None					)    ->    Tuple:
								UpperCAmelCase  :	List[Any]							  =	value
								if comment is not None:
															UpperCAmelCase  :	List[str]							  =	comment
								if self.last_value is None:
															UpperCAmelCase  :	Optional[int]							  =	time.time()
															UpperCAmelCase  :	int							  =	value
															UpperCAmelCase  :	int							  =	None
															UpperCAmelCase  :	str							  =	self.warmup
															UpperCAmelCase  :	Optional[int]							  =	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
															UpperCAmelCase  :	Any							  =	time.time()
															UpperCAmelCase  :	str							  =	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  :	Optional[int]							  =	None
															if value >= self.total:
																						UpperCAmelCase  :	Dict							  =	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(A					)
															UpperCAmelCase  :	str							  =	value
															UpperCAmelCase  :	Optional[int]							  =	current_time
															if self.average_time_per_item is None:
																						UpperCAmelCase  :	Dict							  =	1
															else:
																						UpperCAmelCase  :	Dict							  =	max(int(self.update_every / self.average_time_per_item					)	,	1					)





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






	def 				_lowercase(						self					)    ->    Any:
								if self.parent is None and self.output is not None:
															self.output.update(disp.HTML(""""""					)					)




class     UpperCamelCase_				(							__magic_name__    ):





	def __init__(						self	,	A	,	A=None					)    ->    int:
								super().__init__(A					)
								UpperCAmelCase  :	Optional[int]							  =	None if column_names is None else [column_names]
								UpperCAmelCase  :	List[str]							  =	None





	def 				_lowercase(						self					)    ->    Any:
								UpperCAmelCase  :	int							  =	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  :	Union[str, Any]							  =	disp.display(disp.HTML(self.html_code					)	,	display_id=A					)
								else:
															self.output.update(disp.HTML(self.html_code					)					)





	def 				_lowercase(						self	,	A					)    ->    Dict:
								if self.inner_table is None:
															UpperCAmelCase  :	Optional[Any]							  =	[list(values.keys()					), list(values.values()					)]
								else:
															UpperCAmelCase  :	Dict							  =	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					)
																						UpperCAmelCase  :	Dict							  =	columns
															self.inner_table.append([values[c] for c in columns]					)





	def 				_lowercase(						self	,	A	,	A=None	,	A=300					)    ->    int:
								UpperCAmelCase  :	Optional[int]							  =	NotebookProgressBar(A	,	prefix=A	,	parent=self	,	width=A					)
								return self.child_bar






	def 				_lowercase(						self					)    ->    Optional[int]:
								UpperCAmelCase  :	Optional[int]							  =	None
								self.display()




class     UpperCamelCase_				(							__magic_name__    ):





	def __init__(						self					)    ->    Union[str, Any]:
								UpperCAmelCase  :	List[str]							  =	None
								UpperCAmelCase  :	int							  =	None
								UpperCAmelCase  :	Any							  =	False





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





	def 				_lowercase(						self	,	A	,	A	,	A	,	**A					)    ->    List[str]:
								UpperCAmelCase  :	Optional[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 				_lowercase(						self	,	A	,	A	,	A	,	A=None	,	**A					)    ->    List[Any]:
								if not has_length(A					):
															return
								if self.prediction_bar is None:
															if self.training_tracker is not None:
																						UpperCAmelCase  :	List[str]							  =	self.training_tracker.add_child(len(A					)					)
															else:
																						UpperCAmelCase  :	str							  =	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					)    ->    Any:
								if self.prediction_bar is not None:
															self.prediction_bar.close()
								UpperCAmelCase  :	Union[str, Any]							  =	None





	def 				_lowercase(						self	,	A	,	A	,	A	,	A=None	,	**A					)    ->    Any:
								# Only for when there is no evaluation
								if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
															UpperCAmelCase  :	Optional[Any]							  =	{"""Training Loss""": logs["""loss"""]}
															# First column is necessarily Step sine we're not in epoch eval strategy
															UpperCAmelCase  :	int							  =	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:
															UpperCAmelCase  :	str							  =	{"""Training Loss""": """No log""", """Validation Loss""": """No log"""}
															for log in reversed(state.log_history					):
																						if "loss" in log:
																													UpperCAmelCase  :	Optional[Any]							  =	log["""loss"""]
																													break

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






	def 				_lowercase(						self	,	A	,	A	,	A	,	**A					)    ->    Any:
								self.training_tracker.update(
								    state.global_step	,	comment=f'''Epoch {int(state.epoch					)}/{state.num_train_epochs}'''	,	force_update=A					)
								UpperCAmelCase  :	Any							  =	None






'''simple docstring'''




from datetime import datetime as dt
import os

from github import Github


a     :    int      						=					[
    """good first issue""",
    """good second issue""",
    """good difficult issue""",
    """feature request""",
    """new model""",
    """wip""",
]



def    __lowerCamelCase						(      )   ->    Dict:
							UpperCAmelCase  :	str							  =	Github(os.environ["""GITHUB_TOKEN"""]	)
							UpperCAmelCase  :	Dict							  =	g.get_repo("""huggingface/transformers"""	)
							UpperCAmelCase  :	int							  =	repo.get_issues(state="""open"""	)

							for issue in open_issues:
														UpperCAmelCase  :	Optional[int]							  =	sorted([comment for comment in issue.get_comments()]			,       key=lambda _lowercase	: i.created_at			,       reverse=_lowercase	)
														UpperCAmelCase  :	Any							  =	comments[0] if len(_lowercase	) > 0 else None
														if (
														    last_comment is not None
														    and last_comment.user.login == "github-actions[bot]"
														    and (dt.utcnow() - issue.updated_at).days > 7
														    and (dt.utcnow() - issue.created_at).days >= 3_0
														    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()	)
														):
																					# print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
																					issue.edit(state="""closed"""	)
														elif (
														    (dt.utcnow() - issue.updated_at).days > 2_3
														    and (dt.utcnow() - issue.created_at).days >= 3_0
														    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()	)
														):
																					# print(f"Would add stale comment to {issue.number}")
																					issue.create_comment(
																					    """This issue has been automatically marked as stale because it has not had """
																					    """recent activity. If you think this still needs to be addressed """
																					    """please comment on this thread.\n\nPlease note that issues that do not follow the """
																					    """[contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) """
																					    """are likely to be ignored."""	)


if __name__ == "__main__":
							main()

