



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(  __UpperCamelCase							:		Optional[int] ):
		lowerCAmelCase_			:     Union[str, Any]									= int(__UpperCamelCase )
		lowerCAmelCase_					,  lowerCAmelCase_					,  lowerCAmelCase_			:     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(  __UpperCamelCase							:		Dict     ,__UpperCamelCase							:		Tuple     ,__UpperCamelCase							:		List[str]     ,__UpperCamelCase							:		Optional[int]     ,__UpperCamelCase							:		int=300 ):
		# docstyle-ignore
		return f"""
    <div>
      {prefix}
      <progress value='{value}' max='{total}' style='width:{width}px; height:20px; vertical-align: middle;'></progress>
      {label}
    </div>
    """


def 			UpperCamelCase(  __UpperCamelCase							:		int ):
		lowerCAmelCase_			:     str									= '''<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_			:     Optional[Any]									= f"""{elt:.6f}""" if isinstance(__UpperCamelCase     ,__UpperCamelCase ) else str(__UpperCamelCase )
						html_code += f"""      <td>{elt}</td>\n"""
				html_code += "    </tr>\n"
		html_code += "  </tbody>\n</table><p>"
		return html_code



class 				__snake_case						:
							_a			      = 5
							_a			      = 0.2




							def __init__(       self     :       Optional[Any]				,				A_     :       int				,				A_     :       Optional[str] = None				,				A_     :       bool = True				,				A_     :       Optional["NotebookTrainingTracker"] = None				,				A_     :       int = 3_0_0				,				):
									lowerCAmelCase_			:     Union[str, Any]									= total
									lowerCAmelCase_			:     int									= '''''' if prefix is None else prefix
									lowerCAmelCase_			:     Optional[Any]									= leave
									lowerCAmelCase_			:     Union[str, Any]									= parent
									lowerCAmelCase_			:     Any									= width
									lowerCAmelCase_			:     Optional[Any]									= None
									lowerCAmelCase_			:     Tuple									= None
									lowerCAmelCase_			:     str									= None




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




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







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





class 				__snake_case						(     UpperCamelCase_						):




							def __init__(       self     :       Union[str, Any]				,				A_     :       Optional[int]				,				A_     :       Dict=None):
									super().__init__(A_)
									lowerCAmelCase_			:     int									= None if column_names is None else [column_names]
									lowerCAmelCase_			:     Optional[int]									= None




							def    UpperCAmelCase__			(       self     :       List[str]):
									lowerCAmelCase_			:     Optional[Any]									= 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_			:     Optional[Any]									= disp.display(disp.HTML(self.html_code)				,				display_id=A_)
									else:
											self.output.update(disp.HTML(self.html_code))




							def    UpperCAmelCase__			(       self     :       List[str]				,				A_     :       Optional[int]):
									if self.inner_table is None:
											lowerCAmelCase_			:     List[Any]									= [list(values.keys()), list(values.values())]
									else:
											lowerCAmelCase_			:     List[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(A_)
													lowerCAmelCase_			:     str									= columns
											self.inner_table.append([values[c] for c in columns])




							def    UpperCAmelCase__			(       self     :       Optional[Any]				,				A_     :       Optional[Any]				,				A_     :       Any=None				,				A_     :       Optional[int]=3_0_0):
									lowerCAmelCase_			:     Any									= NotebookProgressBar(A_				,				prefix=A_				,				parent=self				,				width=A_)
									return self.child_bar







							def    UpperCAmelCase__			(       self     :       List[str]):
									lowerCAmelCase_			:     Dict									= None
									self.display()





class 				__snake_case						(     UpperCamelCase_						):




							def __init__(       self     :       Dict):
									lowerCAmelCase_			:     str									= None
									lowerCAmelCase_			:     List[str]									= None
									lowerCAmelCase_			:     Tuple									= False




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




							def    UpperCAmelCase__			(       self     :       Optional[int]				,				A_     :       Optional[Any]				,				A_     :       Optional[int]				,				A_     :       List[str]				,				**A_     :       List[Any]):
									lowerCAmelCase_			:     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				,				)
									lowerCAmelCase_			:     Dict									= False




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




							def    UpperCAmelCase__			(       self     :       List[Any]				,				A_     :       Optional[Any]				,				A_     :       List[str]				,				A_     :       Dict				,				**A_     :       Tuple):
									if self.prediction_bar is not None:
											self.prediction_bar.close()
									lowerCAmelCase_			:     List[Any]									= None




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




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

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







							def    UpperCAmelCase__			(       self     :       Union[str, Any]				,				A_     :       Optional[int]				,				A_     :       Union[str, Any]				,				A_     :       Any				,				**A_     :       int):
									self.training_tracker.update(
									    state.global_step				,				comment=F"""Epoch {int(state.epoch)}/{state.num_train_epochs}"""				,				force_update=A_)
									lowerCAmelCase_			:     str									= None










import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp


def 			UpperCamelCase(  ):
		lowerCAmelCase_			:     List[str]									= ArgumentParser(
		    description=(
		        '''PyTorch TPU distributed training launch '''
		        '''helper utility that will spawn up '''
		        '''multiple distributed processes'''
		    ) )

		# Optional arguments for the launch helper
		parser.add_argument('''--num_cores'''     ,type=__UpperCamelCase     ,default=1     ,help='''Number of TPU cores to use (1 or 8).''' )

		# positional
		parser.add_argument(
		    '''training_script'''     ,type=__UpperCamelCase     ,help=(
		        '''The full path to the single TPU training '''
		        '''program/script to be launched in parallel, '''
		        '''followed by all the arguments for the '''
		        '''training script'''
		    )     ,)

		# rest from the training program
		parser.add_argument('''training_script_args'''     ,nargs=__UpperCamelCase )

		return parser.parse_args()


def 			UpperCamelCase(  ):
		lowerCAmelCase_			:     str									= parse_args()

		# Import training_script as a module.
		lowerCAmelCase_			:     str									= Path(args.training_script )
		sys.path.append(str(script_fpath.parent.resolve() ) )
		lowerCAmelCase_			:     Tuple									= script_fpath.stem
		lowerCAmelCase_			:     Union[str, Any]									= importlib.import_module(__UpperCamelCase )

		# Patch sys.argv
		lowerCAmelCase_			:     Optional[int]									= [args.training_script] + args.training_script_args + ['''--tpu_num_cores''', str(args.num_cores )]
		xmp.spawn(mod._mp_fn     ,args=()     ,nprocs=args.num_cores )


if __name__ == "__main__":
						main()





