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  (       SCREAMING_SNAKE_CASE     ):
    '''simple docstring'''







    __UpperCamelCase					:List[Any]        =		int(SCREAMING_SNAKE_CASE     )
    __UpperCamelCase  ,	__UpperCamelCase  ,	__UpperCamelCase					:Tuple        =		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  (       SCREAMING_SNAKE_CASE  ,      SCREAMING_SNAKE_CASE  ,      SCREAMING_SNAKE_CASE  ,      SCREAMING_SNAKE_CASE  ,      SCREAMING_SNAKE_CASE=300     ):
    '''simple docstring'''







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



def lowerCamelCase  (       SCREAMING_SNAKE_CASE     ):
    '''simple docstring'''







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


class      lowerCamelCase_					:






    '''simple docstring'''






    a__     :						Union[str, Any]      =				5
    a__     :						int      =				0.2







    def __init__(     self			,			__lowercase			,			__lowercase = None			,			__lowercase = True			,			__lowercase = None			,			__lowercase = 300			,			)	->     Any:
        __UpperCamelCase					:Optional[int]        =		total
        __UpperCamelCase					:List[Any]        =		'''''' if prefix is None else prefix
        __UpperCamelCase					:Optional[Any]        =		leave
        __UpperCamelCase					:List[Any]        =		parent
        __UpperCamelCase					:List[Any]        =		width
        __UpperCamelCase					:int        =		None
        __UpperCamelCase					:Tuple        =		None
        __UpperCamelCase					:Union[str, Any]        =		None







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







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







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


class      lowerCamelCase_					(       UpperCAmelCase_			):






    '''simple docstring'''






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







    def       UpperCamelCase__       (     self)	->     Any:
        __UpperCamelCase					:List[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:
            __UpperCamelCase					:Dict        =		disp.display(disp.HTML(self.html_code)			,			display_id=__lowercase)
        else:
            self.output.update(disp.HTML(self.html_code))







    def       UpperCamelCase__       (     self			,			__lowercase)	->     Optional[int]:
        if self.inner_table is None:
            __UpperCamelCase					:Optional[int]        =		[list(values.keys()), list(values.values())]
        else:
            __UpperCamelCase					:Optional[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(__lowercase)
                __UpperCamelCase					:Tuple        =		columns
            self.inner_table.append([values[c] for c in columns])







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase=None			,			__lowercase=300)	->     str:
        __UpperCamelCase					:List[str]        =		NotebookProgressBar(__lowercase			,			prefix=__lowercase			,			parent=self			,			width=__lowercase)
        return self.child_bar







    def       UpperCamelCase__       (     self)	->     List[Any]:
        __UpperCamelCase					:str        =		None
        self.display()


class      lowerCamelCase_					(       UpperCAmelCase_			):






    '''simple docstring'''






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







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







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase			,			__lowercase			,			**__lowercase)	->     Dict:
        __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					:Any        =		False







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase			,			__lowercase			,			__lowercase=None			,			**__lowercase)	->     Any:
        if not has_length(__lowercase):
            return
        if self.prediction_bar is None:
            if self.training_tracker is not None:
                __UpperCamelCase					:Dict        =		self.training_tracker.add_child(len(__lowercase))
            else:
                __UpperCamelCase					:Tuple        =		NotebookProgressBar(len(__lowercase))
            self.prediction_bar.update(1)
        else:
            self.prediction_bar.update(self.prediction_bar.value + 1)







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase			,			__lowercase			,			**__lowercase)	->     List[Any]:
        if self.prediction_bar is not None:
            self.prediction_bar.close()
        __UpperCamelCase					:List[Any]        =		None







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







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

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







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






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

import torch_xla.distributed.xla_multiprocessing as xmp



def lowerCamelCase  (       ):
    '''simple docstring'''







    __UpperCamelCase					:int        =		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=SCREAMING_SNAKE_CASE  ,      default=1  ,      help='''Number of TPU cores to use (1 or 8).'''     )

    # positional
    parser.add_argument(
        '''training_script'''  ,      type=SCREAMING_SNAKE_CASE  ,      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=SCREAMING_SNAKE_CASE     )

    return parser.parse_args()



def lowerCamelCase  (       ):
    '''simple docstring'''







    __UpperCamelCase					:Tuple        =		parse_args()

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

    # Patch sys.argv
    __UpperCamelCase					:Dict        =		[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()





