'''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__							(			_A:					Dict )    ->	Optional[Any]:

		'''simple docstring'''


		lowerCAmelCase   					=  int(_A )
		lowerCAmelCase					,     lowerCAmelCase					,     lowerCAmelCase   					=  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__							(			_A:					Any      ,   _A:					Dict      ,   _A:					int      ,   _A:					Dict      ,   _A:					Dict=300 )    ->	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 				snake_case__							(			_A:					Union[str, Any] )    ->	Dict:

		'''simple docstring'''


		lowerCAmelCase   					=  """<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   					=  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 				a__:


			'''simple docstring'''






			UpperCAmelCase_			:     List[Any]      =       5
			UpperCAmelCase_			:     str      =       0.2



			def __init__(   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase = None       ,    __lowerCAmelCase = True       ,    __lowerCAmelCase = None       ,    __lowerCAmelCase = 300       ,    ):




					"""simple docstring"""


					lowerCAmelCase   					=  total
					lowerCAmelCase   					=  """""" if prefix is None else prefix
					lowerCAmelCase   					=  leave
					lowerCAmelCase   					=  parent
					lowerCAmelCase   					=  width
					lowerCAmelCase   					=  None
					lowerCAmelCase   					=  None
					lowerCAmelCase   					=  None



			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase = False       ,    __lowerCAmelCase = None):




					"""simple docstring"""


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



			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase=None):




					"""simple docstring"""


					lowerCAmelCase   					=  """ """ * (len(str(self.total)) - len(str(__lowerCAmelCase))) + str(__lowerCAmelCase)
					if self.elapsed_time is None:
							lowerCAmelCase   					=  f"[{spaced_value}/{self.total} : < :"
					elif self.predicted_remaining is None:
							lowerCAmelCase   					=  f"[{spaced_value}/{self.total} {format_time(self.elapsed_time)}"
					else:
							lowerCAmelCase   					=  (
							    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):




					"""simple docstring"""


					lowerCAmelCase   					=  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   					=  disp.display(disp.HTML(self.html_code)       ,    display_id=__lowerCAmelCase)
					else:
							self.output.update(disp.HTML(self.html_code))







			def 							a_       (   self):




					"""simple docstring"""


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







class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






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




					"""simple docstring"""


					super().__init__(__lowerCAmelCase)
					lowerCAmelCase   					=  None if column_names is None else [column_names]
					lowerCAmelCase   					=  None



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  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   					=  disp.display(disp.HTML(self.html_code)       ,    display_id=__lowerCAmelCase)
					else:
							self.output.update(disp.HTML(self.html_code))



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


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



			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase=None       ,    __lowerCAmelCase=300):




					"""simple docstring"""


					lowerCAmelCase   					=  NotebookProgressBar(__lowerCAmelCase       ,    prefix=__lowerCAmelCase       ,    parent=self       ,    width=__lowerCAmelCase)
					return self.child_bar







			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  None
					self.display()







class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			def __init__(   self):




					"""simple docstring"""


					lowerCAmelCase   					=  None
					lowerCAmelCase   					=  None
					lowerCAmelCase   					=  False



			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    **__lowerCAmelCase):




					"""simple docstring"""


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



			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    **__lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase   					=  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   					=  False



			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase=None       ,    **__lowerCAmelCase):




					"""simple docstring"""


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



			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    **__lowerCAmelCase):




					"""simple docstring"""


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



			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase=None       ,    **__lowerCAmelCase):




					"""simple docstring"""


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



			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase=None       ,    **__lowerCAmelCase):




					"""simple docstring"""


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

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







			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    **__lowerCAmelCase):




					"""simple docstring"""


					self.training_tracker.update(
					    state.global_step       ,    comment=f"Epoch {int(state.epoch)}/{state.num_train_epochs}"       ,    force_update=__lowerCAmelCase)
					lowerCAmelCase   					=  None





'''simple docstring'''




from typing import List, Optional

import numpy as np

from ...processing_utils import ProcessorMixin
from ...utils import to_numpy






class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			UpperCAmelCase_			:     str      =       '''EncodecFeatureExtractor'''
			UpperCAmelCase_			:     Dict      =       ('''T5Tokenizer''', '''T5TokenizerFast''')



			def __init__(   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase):




					"""simple docstring"""


					super().__init__(__lowerCAmelCase       ,    __lowerCAmelCase)
					lowerCAmelCase   					=  self.feature_extractor
					lowerCAmelCase   					=  False



			def 							a_       (   self       ,    __lowerCAmelCase=None       ,    __lowerCAmelCase=None       ,    __lowerCAmelCase=True):




					"""simple docstring"""


					return self.tokenizer.get_decoder_prompt_ids(task=__lowerCAmelCase       ,    language=__lowerCAmelCase       ,    no_timestamps=__lowerCAmelCase)



			def __call__(   self       ,    *__lowerCAmelCase       ,    **__lowerCAmelCase):




					"""simple docstring"""


					if self._in_target_context_manager:
							return self.current_processor(*__lowerCAmelCase       ,    **__lowerCAmelCase)

					lowerCAmelCase   					=  kwargs.pop("""audio"""       ,    __lowerCAmelCase)
					lowerCAmelCase   					=  kwargs.pop("""sampling_rate"""       ,    __lowerCAmelCase)
					lowerCAmelCase   					=  kwargs.pop("""text"""       ,    __lowerCAmelCase)
					if len(__lowerCAmelCase) > 0:
							lowerCAmelCase   					=  args[0]
							lowerCAmelCase   					=  args[1:]

					if audio is None and text is None:
							raise ValueError("""You need to specify either an `audio` or `text` input to process.""")

					if text is not None:
							lowerCAmelCase   					=  self.tokenizer(__lowerCAmelCase       ,    **__lowerCAmelCase)

					if audio is not None:
							lowerCAmelCase   					=  self.feature_extractor(__lowerCAmelCase       ,    *__lowerCAmelCase       ,    sampling_rate=__lowerCAmelCase       ,    **__lowerCAmelCase)

					if audio is None:
							return inputs

					elif text is None:
							return audio_inputs

					else:
							lowerCAmelCase   					=  audio_inputs["""input_values"""]
							if "padding_mask" in audio_inputs:
									lowerCAmelCase   					=  audio_inputs["""padding_mask"""]
							return inputs



			def 							a_       (   self       ,    *__lowerCAmelCase       ,    **__lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase   					=  kwargs.pop("""audio"""       ,    __lowerCAmelCase)
					lowerCAmelCase   					=  kwargs.pop("""padding_mask"""       ,    __lowerCAmelCase)

					if len(__lowerCAmelCase) > 0:
							lowerCAmelCase   					=  args[0]
							lowerCAmelCase   					=  args[1:]

					if audio_values is not None:
							return self._decode_audio(__lowerCAmelCase       ,    padding_mask=__lowerCAmelCase)
					else:
							return self.tokenizer.batch_decode(*__lowerCAmelCase       ,    **__lowerCAmelCase)



			def 							a_       (   self       ,    *__lowerCAmelCase       ,    **__lowerCAmelCase):




					"""simple docstring"""


					return self.tokenizer.decode(*__lowerCAmelCase       ,    **__lowerCAmelCase)







			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase = None):




					"""simple docstring"""


					lowerCAmelCase   					=  to_numpy(__lowerCAmelCase)
					lowerCAmelCase					,     lowerCAmelCase					,     lowerCAmelCase   					=  audio_values.shape

					if padding_mask is None:
							return list(__lowerCAmelCase)

					lowerCAmelCase   					=  to_numpy(__lowerCAmelCase)

					# match the sequence length of the padding mask to the generated audio arrays by padding with the **non-padding**
					# token (so that the generated audio values are **not** treated as padded tokens)
					lowerCAmelCase   					=  seq_len - padding_mask.shape[-1]
					lowerCAmelCase   					=  1 - self.feature_extractor.padding_value
					lowerCAmelCase   					=  np.pad(__lowerCAmelCase       ,    ((0, 0), (0, difference))       ,    """constant"""       ,    constant_values=__lowerCAmelCase)

					lowerCAmelCase   					=  audio_values.tolist()
					for i in range(__lowerCAmelCase):
							lowerCAmelCase   					=  np.asarray(audio_values[i])[
							    padding_mask[i][None, :] != self.feature_extractor.padding_value
							]
							lowerCAmelCase   					=  sliced_audio.reshape(__lowerCAmelCase       ,    -1)

					return audio_values




