

'''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 						UpperCamelCase	(			a			)				->     List[Any]:






     '''simple docstring'''
     __magic_name__						       =    int(snake_case__			)
     __magic_name__						       =    t // 3600, (t // 60) % 60, t % 60
     return F'''{h}:{m:02d}:{s:02d}''' if h != 0 else F'''{m:02d}:{s:02d}'''




def 						UpperCamelCase	(			a		,						a		,						a		,						a		,						a=300			)				->     Optional[int]:






     '''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 						UpperCamelCase	(			a			)				->     List[Any]:






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






class   _SCREAMING_SNAKE_CASE   :
 __SCREAMING_SNAKE_CASE					:str      	=					5
 __SCREAMING_SNAKE_CASE					:Dict      	=					0.2



 def __init__(   self		:   Any			,				a__		:   List[str]			,				a__		:   Optional[int] = None			,				a__		:   int = True			,				a__		:   Any = None			,				a__		:   List[Any] = 300			,				):
      __magic_name__						       =    total
      __magic_name__						       =    '' if prefix is None else prefix
      __magic_name__						       =    leave
      __magic_name__						       =    parent
      __magic_name__						       =    width
      __magic_name__						       =    None
      __magic_name__						       =    None
      __magic_name__						       =    None



 def 			snake_case__  (   self		:   Optional[Any]			,				a__		:   Optional[Any]			,				a__		:   Optional[int] = False			,				a__		:   Dict = None      ):
      __magic_name__						       =    value
      if comment is not None:
           __magic_name__						       =    comment
      if self.last_value is None:
           __magic_name__						       =    time.time()
           __magic_name__						       =    value
           __magic_name__						       =    None
           __magic_name__						       =    self.warmup
           __magic_name__						       =    1
           self.update_bar(SCREAMING_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
           __magic_name__						       =    time.time()
           __magic_name__						       =    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:
                __magic_name__						       =    self.elapsed_time / (value - self.start_value)
           else:
                __magic_name__						       =    None
           if value >= self.total:
                __magic_name__						       =    self.total
                __magic_name__						       =    None
                if not self.leave:
                     self.close()
           elif self.average_time_per_item is not None:
                __magic_name__						       =    self.average_time_per_item * (self.total - value)
           self.update_bar(SCREAMING_SNAKE_CASE_      )
           __magic_name__						       =    value
           __magic_name__						       =    current_time
           if self.average_time_per_item is None:
                __magic_name__						       =    1
           else:
                __magic_name__						       =    max(int(self.update_every / self.average_time_per_item      )			,				1      )



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



 def 			snake_case__  (   self		:   List[Any]      ):
      if self.parent is None and self.output is not None:
           self.output.update(disp.HTML(''''''      )      )






class   _SCREAMING_SNAKE_CASE   (   a__     ):



 def __init__(   self		:   Optional[Any]			,				a__		:   Optional[Any]			,				a__		:   Dict=None      ):
      super().__init__(SCREAMING_SNAKE_CASE_      )
      __magic_name__						       =    None if column_names is None else [column_names]
      __magic_name__						       =    None



 def 			snake_case__  (   self		:   List[Any]      ):
      __magic_name__						       =    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:
           __magic_name__						       =    disp.display(disp.HTML(self.html_code      )			,				display_id=SCREAMING_SNAKE_CASE_      )
      else:
           self.output.update(disp.HTML(self.html_code      )      )



 def 			snake_case__  (   self		:   int			,				a__		:   List[Any]      ):
      if self.inner_table is None:
           __magic_name__						       =    [list(values.keys()      ), list(values.values()      )]
      else:
           __magic_name__						       =    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(SCREAMING_SNAKE_CASE_      )
                __magic_name__						       =    columns
           self.inner_table.append([values[c] for c in columns]      )



 def 			snake_case__  (   self		:   Tuple			,				a__		:   Union[str, Any]			,				a__		:   int=None			,				a__		:   Dict=300      ):
      __magic_name__						       =    NotebookProgressBar(SCREAMING_SNAKE_CASE_			,				prefix=SCREAMING_SNAKE_CASE_			,				parent=self			,				width=SCREAMING_SNAKE_CASE_      )
      return self.child_bar



 def 			snake_case__  (   self		:   Dict      ):
      __magic_name__						       =    None
      self.display()






class   _SCREAMING_SNAKE_CASE   (   a__     ):



 def __init__(   self		:   List[Any]      ):
      __magic_name__						       =    None
      __magic_name__						       =    None
      __magic_name__						       =    False



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



 def 			snake_case__  (   self		:   Dict			,				a__		:   Tuple			,				a__		:   List[Any]			,				a__		:   List[str]			,				**a__		:   Any      ):
      __magic_name__						       =    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			,				)
      __magic_name__						       =    False



 def 			snake_case__  (   self		:   Optional[int]			,				a__		:   Optional[Any]			,				a__		:   Optional[int]			,				a__		:   Dict			,				a__		:   List[str]=None			,				**a__		:   Any      ):
      if not has_length(SCREAMING_SNAKE_CASE_      ):
           return
      if self.prediction_bar is None:
           if self.training_tracker is not None:
                __magic_name__						       =    self.training_tracker.add_child(len(SCREAMING_SNAKE_CASE_      )      )
           else:
                __magic_name__						       =    NotebookProgressBar(len(SCREAMING_SNAKE_CASE_      )      )
           self.prediction_bar.update(1      )
      else:
           self.prediction_bar.update(self.prediction_bar.value + 1      )



 def 			snake_case__  (   self		:   Dict			,				a__		:   Optional[Any]			,				a__		:   Optional[int]			,				a__		:   Optional[Any]			,				**a__		:   Dict      ):
      if self.prediction_bar is not None:
           self.prediction_bar.close()
      __magic_name__						       =    None



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



 def 			snake_case__  (   self		:   Any			,				a__		:   Any			,				a__		:   Tuple			,				a__		:   Dict			,				a__		:   Tuple=None			,				**a__		:   List[str]      ):
      if self.training_tracker is not None:
           __magic_name__						       =    {'Training Loss': 'No log', 'Validation Loss': 'No log'}
           for log in reversed(state.log_history      ):
                if "loss" in log:
                     __magic_name__						       =    log['loss']
                     break

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



 def 			snake_case__  (   self		:   Optional[Any]			,				a__		:   int			,				a__		:   Tuple			,				a__		:   Union[str, Any]			,				**a__		:   List[Any]      ):
      self.training_tracker.update(
          state.global_step			,				comment=F'''Epoch {int(state.epoch      )}/{state.num_train_epochs}'''			,				force_update=SCREAMING_SNAKE_CASE_      )
      __magic_name__						       =    None









'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCAmelCase         =						{
    "configuration_clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapTextConfig",
    ],
    "processing_clap": ["ClapProcessor"],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _lowerCAmelCase         =						[
          "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
          "ClapModel",
          "ClapPreTrainedModel",
          "ClapTextModel",
          "ClapTextModelWithProjection",
          "ClapAudioModel",
          "ClapAudioModelWithProjection",
      ]
      _lowerCAmelCase         =						["ClapFeatureExtractor"]

if TYPE_CHECKING:
      from .configuration_clap import (
          CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
          ClapAudioConfig,
          ClapConfig,
          ClapTextConfig,
      )
      from .processing_clap import ClapProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_clap import ClapFeatureExtractor
            from .modeling_clap import (
                CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
                ClapAudioModel,
                ClapAudioModelWithProjection,
                ClapModel,
                ClapPreTrainedModel,
                ClapTextModel,
                ClapTextModelWithProjection,
            )


else:
      import sys

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






