
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 							__A(lowerCAmelCase )		->				str:

		"""simple docstring"""






		_UpperCamelCase						    =	int(a_ )
		_UpperCamelCase						    =	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 							__A(lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase=3_0_0 )		->				Optional[Any]:

		"""simple docstring"""






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


def 							__A(lowerCAmelCase )		->				Optional[Any]:

		"""simple docstring"""






		_UpperCamelCase						    =	'''<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						    =	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        lowerCAmelCase__      :
						UpperCamelCase_							: Optional[int]	=		5
						UpperCamelCase_							: Any	=		0.2

						def __init__(			self       ,							a       ,							a = None       ,							a = True       ,							a = None       ,							a = 3_00       ,							)					->      Union[str, Any]:


								'''simple docstring'''

								_UpperCamelCase						    =	total
								_UpperCamelCase						    =	'''''' if prefix is None else prefix
								_UpperCamelCase						    =	leave
								_UpperCamelCase						    =	parent
								_UpperCamelCase						    =	width
								_UpperCamelCase						    =	None
								_UpperCamelCase						    =	None
								_UpperCamelCase						    =	None

						def  A_				(			self       ,							a       ,							a = False       ,							a = None				)					->      Dict:


								'''simple docstring'''

								_UpperCamelCase						    =	value
								if comment is not None:
										_UpperCamelCase						    =	comment
								if self.last_value is None:
										_UpperCamelCase						    =	time.time()
										_UpperCamelCase						    =	value
										_UpperCamelCase						    =	None
										_UpperCamelCase						    =	self.warmup
										_UpperCamelCase						    =	1
										self.update_bar(__snake_case				)
								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						    =	time.time()
										_UpperCamelCase						    =	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						    =	self.elapsed_time / (value - self.start_value)
										else:
												_UpperCamelCase						    =	None
										if value >= self.total:
												_UpperCamelCase						    =	self.total
												_UpperCamelCase						    =	None
												if not self.leave:
														self.close()
										elif self.average_time_per_item is not None:
												_UpperCamelCase						    =	self.average_time_per_item * (self.total - value)
										self.update_bar(__snake_case				)
										_UpperCamelCase						    =	value
										_UpperCamelCase						    =	current_time
										if self.average_time_per_item is None:
												_UpperCamelCase						    =	1
										else:
												_UpperCamelCase						    =	max(int(self.update_every / self.average_time_per_item				)       ,							1				)

						def  A_				(			self       ,							a       ,							a=None				)					->      int:


								'''simple docstring'''

								_UpperCamelCase						    =	''' ''' * (len(str(self.total				)				) - len(str(__snake_case				)				)) + str(__snake_case				)
								if self.elapsed_time is None:
										_UpperCamelCase						    =	F'[{spaced_value}/{self.total} : < :'
								elif self.predicted_remaining is None:
										_UpperCamelCase						    =	F'[{spaced_value}/{self.total} {format_time(self.elapsed_time				)}'
								else:
										_UpperCamelCase						    =	(
										    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  A_				(			self				)					->      Tuple:


								'''simple docstring'''

								_UpperCamelCase						    =	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						    =	disp.display(disp.HTML(self.html_code				)       ,							display_id=__snake_case				)
								else:
										self.output.update(disp.HTML(self.html_code				)				)







						def  A_				(			self				)					->      List[str]:


								'''simple docstring'''

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







class        lowerCAmelCase__      (   __SCREAMING_SNAKE_CASE	):

						def __init__(			self       ,							a       ,							a=None				)					->      Any:


								'''simple docstring'''

								super().__init__(__snake_case				)
								_UpperCamelCase						    =	None if column_names is None else [column_names]
								_UpperCamelCase						    =	None

						def  A_				(			self				)					->      List[str]:


								'''simple docstring'''

								_UpperCamelCase						    =	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						    =	disp.display(disp.HTML(self.html_code				)       ,							display_id=__snake_case				)
								else:
										self.output.update(disp.HTML(self.html_code				)				)

						def  A_				(			self       ,							a				)					->      Optional[int]:


								'''simple docstring'''

								if self.inner_table is None:
										_UpperCamelCase						    =	[list(values.keys()				), list(values.values()				)]
								else:
										_UpperCamelCase						    =	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(__snake_case				)
												_UpperCamelCase						    =	columns
										self.inner_table.append([values[c] for c in columns]				)

						def  A_				(			self       ,							a       ,							a=None       ,							a=3_00				)					->      Tuple:


								'''simple docstring'''

								_UpperCamelCase						    =	NotebookProgressBar(__snake_case       ,							prefix=__snake_case       ,							parent=self       ,							width=__snake_case				)
								return self.child_bar







						def  A_				(			self				)					->      List[Any]:


								'''simple docstring'''

								_UpperCamelCase						    =	None
								self.display()







class        lowerCAmelCase__      (   __SCREAMING_SNAKE_CASE	):

						def __init__(			self				)					->      List[Any]:


								'''simple docstring'''

								_UpperCamelCase						    =	None
								_UpperCamelCase						    =	None
								_UpperCamelCase						    =	False

						def  A_				(			self       ,							a       ,							a       ,							a       ,							**a				)					->      Dict:


								'''simple docstring'''

								_UpperCamelCase						    =	'''Epoch''' if args.evaluation_strategy == IntervalStrategy.EPOCH else '''Step'''
								_UpperCamelCase						    =	0
								_UpperCamelCase						    =	0
								_UpperCamelCase						    =	[self.first_column] + ['''Training Loss''']
								if args.evaluation_strategy != IntervalStrategy.NO:
										column_names.append("""Validation Loss"""				)
								_UpperCamelCase						    =	NotebookTrainingTracker(state.max_steps       ,							__snake_case				)

						def  A_				(			self       ,							a       ,							a       ,							a       ,							**a				)					->      Tuple:


								'''simple docstring'''

								_UpperCamelCase						    =	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						    =	False

						def  A_				(			self       ,							a       ,							a       ,							a       ,							a=None       ,							**a				)					->      Optional[Any]:


								'''simple docstring'''

								if not has_length(__snake_case				):
										return
								if self.prediction_bar is None:
										if self.training_tracker is not None:
												_UpperCamelCase						    =	self.training_tracker.add_child(len(__snake_case				)				)
										else:
												_UpperCamelCase						    =	NotebookProgressBar(len(__snake_case				)				)
										self.prediction_bar.update(1				)
								else:
										self.prediction_bar.update(self.prediction_bar.value + 1				)

						def  A_				(			self       ,							a       ,							a       ,							a       ,							**a				)					->      Dict:


								'''simple docstring'''

								if self.prediction_bar is not None:
										self.prediction_bar.close()
								_UpperCamelCase						    =	None

						def  A_				(			self       ,							a       ,							a       ,							a       ,							a=None       ,							**a				)					->      List[str]:


								'''simple docstring'''

								if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
										_UpperCamelCase						    =	{'''Training Loss''': logs['''loss''']}
										# First column is necessarily Step sine we're not in epoch eval strategy
										_UpperCamelCase						    =	state.global_step
										self.training_tracker.write_line(__snake_case				)

						def  A_				(			self       ,							a       ,							a       ,							a       ,							a=None       ,							**a				)					->      Dict:


								'''simple docstring'''

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

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







						def  A_				(			self       ,							a       ,							a       ,							a       ,							**a				)					->      Union[str, Any]:


								'''simple docstring'''

								self.training_tracker.update(
								    state.global_step       ,							comment=F'Epoch {int(state.epoch				)}/{state.num_train_epochs}'       ,							force_update=__snake_case				)
								_UpperCamelCase						    =	None





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCamelCase__	=							{"configuration_yolos": ["YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP", "YolosConfig", "YolosOnnxConfig"]}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCamelCase__	=							["YolosFeatureExtractor"]
		lowerCamelCase__	=							["YolosImageProcessor"]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCamelCase__	=							[
		    "YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "YolosForObjectDetection",
		    "YolosModel",
		    "YolosPreTrainedModel",
		]


if TYPE_CHECKING:
		from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_yolos import YolosFeatureExtractor
				from .image_processing_yolos import YolosImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_yolos import (
				    YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
				    YolosForObjectDetection,
				    YolosModel,
				    YolosPreTrainedModel,
				)


else:
		import sys

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



