



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






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

class 	__SCREAMING_SNAKE_CASE     :


					'''simple docstring'''





					_a             =							5
					_a             =							0.2



					def __init__(	self							:  List[str],  lowerCamelCase							:  int,  lowerCamelCase							:  Optional[str] = None,  lowerCamelCase							:  bool = True,  lowerCamelCase							:  Optional["NotebookTrainingTracker"] = None,  lowerCamelCase							:  int = 300,  )-> str:
								lowerCamelCase__		:		Any		     =total
								lowerCamelCase__		:		Optional[Any]		     ='''''' if prefix is None else prefix
								lowerCamelCase__		:		Dict		     =leave
								lowerCamelCase__		:		int		     =parent
								lowerCamelCase__		:		List[str]		     =width
								lowerCamelCase__		:		Dict		     =None
								lowerCamelCase__		:		Any		     =None
								lowerCamelCase__		:		Optional[int]		     =None



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



					def 		snake_case	(	self							:  Optional[Any],  lowerCamelCase							:  int,  lowerCamelCase							:  int=None					)-> Tuple:
								lowerCamelCase__		:		Dict		     =''' ''' * (len(str(self.total					)					) - len(str(lowerCamelCase					)					)) + str(lowerCamelCase					)
								if self.elapsed_time is None:
											lowerCamelCase__		:		Optional[int]		     =F'''[{spaced_value}/{self.total} : < :'''
								elif self.predicted_remaining is None:
											lowerCamelCase__		:		List[Any]		     =F'''[{spaced_value}/{self.total} {format_time(self.elapsed_time					)}'''
								else:
											lowerCamelCase__		:		Optional[int]		     =(
											    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 		snake_case	(	self							:  Any					)-> Dict:
								lowerCamelCase__		:		List[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:
											lowerCamelCase__		:		str		     =disp.display(disp.HTML(self.html_code					),  display_id=lowerCamelCase					)
								else:
											self.output.update(disp.HTML(self.html_code					)					)




					def 		snake_case	(	self							:  Union[str, Any]					)-> Dict:
								if self.parent is None and self.output is not None:
											self.output.update(disp.HTML(''''''					)					)





class 	__SCREAMING_SNAKE_CASE     (				lowerCAmelCase_       ):


					'''simple docstring'''





					def __init__(	self							:  Optional[int],  lowerCamelCase							:  int,  lowerCamelCase							:  str=None					)-> Dict:
								super().__init__(lowerCamelCase					)
								lowerCamelCase__		:		Optional[Any]		     =None if column_names is None else [column_names]
								lowerCamelCase__		:		Any		     =None



					def 		snake_case	(	self							:  str					)-> List[str]:
								lowerCamelCase__		:		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:
											lowerCamelCase__		:		List[Any]		     =disp.display(disp.HTML(self.html_code					),  display_id=lowerCamelCase					)
								else:
											self.output.update(disp.HTML(self.html_code					)					)



					def 		snake_case	(	self							:  Tuple,  lowerCamelCase							:  Optional[int]					)-> Tuple:
								if self.inner_table is None:
											lowerCamelCase__		:		Union[str, Any]		     =[list(values.keys()					), list(values.values()					)]
								else:
											lowerCamelCase__		:		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(lowerCamelCase					)
														lowerCamelCase__		:		str		     =columns
											self.inner_table.append([values[c] for c in columns]					)



					def 		snake_case	(	self							:  int,  lowerCamelCase							:  List[Any],  lowerCamelCase							:  Optional[int]=None,  lowerCamelCase							:  Union[str, Any]=300					)-> Union[str, Any]:
								lowerCamelCase__		:		Tuple		     =NotebookProgressBar(lowerCamelCase,  prefix=lowerCamelCase,  parent=self,  width=lowerCamelCase					)
								return self.child_bar




					def 		snake_case	(	self							:  Tuple					)-> int:
								lowerCamelCase__		:		Dict		     =None
								self.display()





class 	__SCREAMING_SNAKE_CASE     (				lowerCAmelCase_       ):


					'''simple docstring'''





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



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



					def 		snake_case	(	self							:  Tuple,  lowerCamelCase							:  Tuple,  lowerCamelCase							:  Union[str, Any],  lowerCamelCase							:  Union[str, Any],  **lowerCamelCase							:  int					)-> str:
								lowerCamelCase__		:		Dict		     =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__		:		str		     =False



					def 		snake_case	(	self							:  List[Any],  lowerCamelCase							:  Union[str, Any],  lowerCamelCase							:  Union[str, Any],  lowerCamelCase							:  Union[str, Any],  lowerCamelCase							:  List[Any]=None,  **lowerCamelCase							:  List[str]					)-> List[str]:
								if not has_length(lowerCamelCase					):
											return
								if self.prediction_bar is None:
											if self.training_tracker is not None:
														lowerCamelCase__		:		Union[str, Any]		     =self.training_tracker.add_child(len(lowerCamelCase					)					)
											else:
														lowerCamelCase__		:		Optional[Any]		     =NotebookProgressBar(len(lowerCamelCase					)					)
											self.prediction_bar.update(1					)
								else:
											self.prediction_bar.update(self.prediction_bar.value + 1					)



					def 		snake_case	(	self							:  Dict,  lowerCamelCase							:  int,  lowerCamelCase							:  Dict,  lowerCamelCase							:  Union[str, Any],  **lowerCamelCase							:  Tuple					)-> List[Any]:
								if self.prediction_bar is not None:
											self.prediction_bar.close()
								lowerCamelCase__		:		List[Any]		     =None



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



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

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




					def 		snake_case	(	self							:  Union[str, Any],  lowerCamelCase							:  int,  lowerCamelCase							:  Optional[Any],  lowerCamelCase							:  List[Any],  **lowerCamelCase							:  str					)-> int:
								self.training_tracker.update(
								    state.global_step,  comment=F'''Epoch {int(state.epoch					)}/{state.num_train_epochs}''',  force_update=lowerCamelCase					)
								lowerCamelCase__		:		Union[str, Any]		     =None









"""simple docstring"""






import math

import flax.linen as nn
import jax.numpy as jnp






def 					snake_case__       (		__lowerCamelCase    :   jnp.ndarray							,		__lowerCamelCase    :   int							,		__lowerCamelCase    :   float = 1							,		__lowerCamelCase    :   float = 1							,		__lowerCamelCase    :   float = 1.0e4							,		__lowerCamelCase    :   bool = False							,		__lowerCamelCase    :   float = 1.0							,		):
			"""simple docstring"""
			assert timesteps.ndim == 1, "Timesteps should be a 1d-array"
			assert embedding_dim % 2 == 0, f'''Embedding dimension {embedding_dim} should be even'''
			lowerCamelCase__		:		Any		     =float(embedding_dim // 2     )
			lowerCamelCase__		:		List[str]		     =math.log(max_timescale / min_timescale     ) / (num_timescales - freq_shift)
			lowerCamelCase__		:		int		     =min_timescale * jnp.exp(jnp.arange(__lowerCamelCase							,		dtype=jnp.floataa     ) * -log_timescale_increment     )
			lowerCamelCase__		:		Tuple		     =jnp.expand_dims(__lowerCamelCase							,		1     ) * jnp.expand_dims(__lowerCamelCase							,		0     )

			# scale embeddings
			lowerCamelCase__		:		List[str]		     =scale * emb

			if flip_sin_to_cos:
						lowerCamelCase__		:		int		     =jnp.concatenate([jnp.cos(__lowerCamelCase     ), jnp.sin(__lowerCamelCase     )]							,		axis=1     )
			else:
						lowerCamelCase__		:		List[str]		     =jnp.concatenate([jnp.sin(__lowerCamelCase     ), jnp.cos(__lowerCamelCase     )]							,		axis=1     )
			lowerCamelCase__		:		str		     =jnp.reshape(__lowerCamelCase							,		[jnp.shape(__lowerCamelCase     )[0], embedding_dim]     )
			return signal

class 	__SCREAMING_SNAKE_CASE     (				nn.Module       ):


					'''simple docstring'''





					_a             =							3_2
					_a             =							jnp.floataa



					@nn.compact
					def __call__(	self							:  Optional[Any],  lowerCamelCase							:  int					)-> Any:
								lowerCamelCase__		:		Optional[Any]		     =nn.Dense(self.time_embed_dim,  dtype=self.dtype,  name='''linear_1'''					)(lowerCamelCase					)
								lowerCamelCase__		:		List[str]		     =nn.silu(lowerCamelCase					)
								lowerCamelCase__		:		Any		     =nn.Dense(self.time_embed_dim,  dtype=self.dtype,  name='''linear_2'''					)(lowerCamelCase					)
								return temb





class 	__SCREAMING_SNAKE_CASE     (				nn.Module       ):


					'''simple docstring'''





					_a             =							3_2
					_a             =							False
					_a             =							1



					@nn.compact
					def __call__(	self							:  Any,  lowerCamelCase							:  int					)-> int:
								return get_sinusoidal_embeddings(
								    lowerCamelCase,  embedding_dim=self.dim,  flip_sin_to_cos=self.flip_sin_to_cos,  freq_shift=self.freq_shift					)




