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						(	__lowercase						:			int     ):
		'''simple docstring'''




		A_		:    List[Any]         =				int(__lowercase     )
		A_       ,      A_       ,      A_		:    Union[str, Any]         =				t // 36_00, (t // 60) % 60, t % 60
		return f'''{h}:{m:02d}:{s:02d}''' if h != 0 else f'''{m:02d}:{s:02d}'''




def     UpperCamelCase						(	__lowercase						:			Dict						,__lowercase						:			Any						,__lowercase						:			Optional[Any]						,__lowercase						:			Dict						,__lowercase						:			Optional[Any]=3_00     ):
		'''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						(	__lowercase						:			int     ):
		'''simple docstring'''




		A_		:    Optional[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:
						A_		:    List[Any]         =				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						:


				'''simple docstring'''






				lowerCamelCase_    = 5
				lowerCamelCase_    = 0.2
				def __init__(						self		,     lowercase		,     lowercase = None		,     lowercase = True		,     lowercase = None		,     lowercase = 3_0_0		,     ):



						"""simple docstring"""





						A_		:    Any         =				total
						A_		:    Optional[int]         =				'' if prefix is None else prefix
						A_		:    str         =				leave
						A_		:    List[str]         =				parent
						A_		:    str         =				width
						A_		:    Tuple         =				None
						A_		:    str         =				None
						A_		:    Dict         =				None
				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase = False		,     lowercase = None ):



						"""simple docstring"""





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



						"""simple docstring"""





						A_		:    str         =				' ' * (len(str(self.total ) ) - len(str(lowercase ) )) + str(lowercase )
						if self.elapsed_time is None:
								A_		:    List[str]         =				F'''[{spaced_value}/{self.total} : < :'''
						elif self.predicted_remaining is None:
								A_		:    List[str]         =				F'''[{spaced_value}/{self.total} {format_time(self.elapsed_time )}'''
						else:
								A_		:    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   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    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:
								A_		:    int         =				disp.display(disp.HTML(self.html_code )		,     display_id=lowercase )
						else:
								self.output.update(disp.HTML(self.html_code ) )







				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





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





class UpperCAmelCase						( __A  ):


				'''simple docstring'''






				def __init__(						self		,     lowercase		,     lowercase=None ):



						"""simple docstring"""





						super().__init__(lowercase )
						A_		:    Optional[int]         =				None if column_names is None else [column_names]
						A_		:    List[Any]         =				None
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





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



						"""simple docstring"""





						if self.inner_table is None:
								A_		:    int         =				[list(values.keys() ), list(values.values() )]
						else:
								A_		:    List[str]         =				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 )
										A_		:    Optional[Any]         =				columns
								self.inner_table.append([values[c] for c in columns] )
				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase=None		,     lowercase=3_0_0 ):



						"""simple docstring"""





						A_		:    str         =				NotebookProgressBar(lowercase		,     prefix=lowercase		,     parent=self		,     width=lowercase )
						return self.child_bar







				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Dict         =				None
						self.display()





class UpperCAmelCase						( __A  ):


				'''simple docstring'''






				def __init__(						self ):



						"""simple docstring"""





						A_		:    Optional[int]         =				None
						A_		:    Optional[int]         =				None
						A_		:    List[Any]         =				False
				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase		,     lowercase		,     **lowercase ):



						"""simple docstring"""





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



						"""simple docstring"""





						A_		:    List[str]         =				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_		:    Tuple         =				False
				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase		,     lowercase		,     lowercase=None		,     **lowercase ):



						"""simple docstring"""





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



						"""simple docstring"""





						if self.prediction_bar is not None:
								self.prediction_bar.close()
						A_		:    List[str]         =				None
				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase		,     lowercase		,     lowercase=None		,     **lowercase ):



						"""simple docstring"""





						if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
								A_		:    Dict         =				{'Training Loss': logs['loss']}
								# First column is necessarily Step sine we're not in epoch eval strategy
								A_		:    List[str]         =				state.global_step
								self.training_tracker.write_line(lowercase )
				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase		,     lowercase		,     lowercase=None		,     **lowercase ):



						"""simple docstring"""





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

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







				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase		,     lowercase		,     **lowercase ):



						"""simple docstring"""





						self.training_tracker.update(
						    state.global_step		,     comment=F'''Epoch {int(state.epoch )}/{state.num_train_epochs}'''		,     force_update=lowercase )
						A_		:    Tuple         =				None







from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCAmelCase            =		{
    """configuration_autoformer""": [
        """AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AutoformerConfig""",
    ],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_UpperCAmelCase            =		[
	    """AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """AutoformerForPrediction""",
	    """AutoformerModel""",
	    """AutoformerPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_autoformer import (
	    AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    AutoformerConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_autoformer import (
		    AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    AutoformerForPrediction,
		    AutoformerModel,
		    AutoformerPreTrainedModel,
		)

else:
	import sys

	_UpperCAmelCase            =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






