


'''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   _a		(lowercase__			:   Optional[Any]						)			->			Optional[Any]:






     """simple docstring"""
     __snake_case           =						int(lowercase__						)
     __snake_case      ,       __snake_case      ,       __snake_case           =						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		(lowercase__			:   Optional[int]							,   lowercase__			:   Optional[int]							,   lowercase__			:   Optional[int]							,   lowercase__			:   Tuple							,   lowercase__			:   List[str]=3_0_0						)			->			Optional[int]:






     """simple docstring"""
     # docstyle-ignore
     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		(lowercase__			:   Optional[int]						)			->			Optional[Any]:






     """simple docstring"""
     __snake_case           =						'<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:
               __snake_case           =						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 			_lowercase :
   _SCREAMING_SNAKE_CASE  :  Union[str, Any]          =	5
   _SCREAMING_SNAKE_CASE  :  List[str]          =	0.2
   def __init__(						self       :      Tuple       ,   SCREAMING_SNAKE_CASE_       :      int       ,   SCREAMING_SNAKE_CASE_       :      Optional[str] = None       ,   SCREAMING_SNAKE_CASE_       :      bool = True       ,   SCREAMING_SNAKE_CASE_       :      Optional["NotebookTrainingTracker"] = None       ,   SCREAMING_SNAKE_CASE_       :      int = 300       ,   ) ->							List[Any]:
        __snake_case           =						total
        __snake_case           =						'' if prefix is None else prefix
        __snake_case           =						leave
        __snake_case           =						parent
        __snake_case           =						width
        __snake_case           =						None
        __snake_case           =						None
        __snake_case           =						None
   def a  (						self       :      str       ,   SCREAMING_SNAKE_CASE_       :      int       ,   SCREAMING_SNAKE_CASE_       :      bool = False       ,   SCREAMING_SNAKE_CASE_       :      str = None      ) ->							Any:
        __snake_case           =						value
        if comment is not None:
             __snake_case           =						comment
        if self.last_value is None:
             __snake_case           =						__snake_case           =						time.time()
             __snake_case           =						__snake_case           =						value
             __snake_case           =						__snake_case           =						None
             __snake_case           =						self.warmup
             __snake_case           =						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
             __snake_case           =						time.time()
             __snake_case           =						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:
                  __snake_case           =						self.elapsed_time / (value - self.start_value)
             else:
                  __snake_case           =						None
             if value >= self.total:
                  __snake_case           =						self.total
                  __snake_case           =						None
                  if not self.leave:
                       self.close()
             elif self.average_time_per_item is not None:
                  __snake_case           =						self.average_time_per_item * (self.total - value)
             self.update_bar(SCREAMING_SNAKE_CASE_      )
             __snake_case           =						value
             __snake_case           =						current_time
             if self.average_time_per_item is None:
                  __snake_case           =						1
             else:
                  __snake_case           =						max(int(self.update_every / self.average_time_per_item      )       ,   1      )
   def a  (						self       :      List[Any]       ,   SCREAMING_SNAKE_CASE_       :      List[str]       ,   SCREAMING_SNAKE_CASE_       :      List[str]=None      ) ->							str:
        __snake_case           =						' ' * (len(str(self.total      )      ) - len(str(SCREAMING_SNAKE_CASE_      )      )) + str(SCREAMING_SNAKE_CASE_      )
        if self.elapsed_time is None:
             __snake_case           =						f'[{spaced_value}/{self.total} : < :'
        elif self.predicted_remaining is None:
             __snake_case           =						f'[{spaced_value}/{self.total} {format_time(self.elapsed_time      )}'
        else:
             __snake_case           =						(
                 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       :      Optional[int]      ) ->							Any:
        __snake_case           =						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:
             __snake_case           =						disp.display(disp.HTML(self.html_code      )       ,   display_id=SCREAMING_SNAKE_CASE_      )
        else:
             self.output.update(disp.HTML(self.html_code      )      )





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




class 			_lowercase (	__lowercase							):
   def __init__(						self       :      Optional[int]       ,   SCREAMING_SNAKE_CASE_       :      Union[str, Any]       ,   SCREAMING_SNAKE_CASE_       :      List[Any]=None      ) ->							Union[str, Any]:
        super().__init__(SCREAMING_SNAKE_CASE_      )
        __snake_case           =						None if column_names is None else [column_names]
        __snake_case           =						None
   def a  (						self       :      Dict      ) ->							Optional[Any]:
        __snake_case           =						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:
             __snake_case           =						disp.display(disp.HTML(self.html_code      )       ,   display_id=SCREAMING_SNAKE_CASE_      )
        else:
             self.output.update(disp.HTML(self.html_code      )      )
   def a  (						self       :      Optional[Any]       ,   SCREAMING_SNAKE_CASE_       :      Optional[int]      ) ->							Optional[Any]:
        if self.inner_table is None:
             __snake_case           =						[list(values.keys()      ), list(values.values()      )]
        else:
             __snake_case           =						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_      )
                  __snake_case           =						columns
             self.inner_table.append([values[c] for c in columns]      )
   def a  (						self       :      List[Any]       ,   SCREAMING_SNAKE_CASE_       :      Tuple       ,   SCREAMING_SNAKE_CASE_       :      int=None       ,   SCREAMING_SNAKE_CASE_       :      Optional[int]=300      ) ->							Any:
        __snake_case           =						NotebookProgressBar(SCREAMING_SNAKE_CASE_       ,   prefix=SCREAMING_SNAKE_CASE_       ,   parent=self       ,   width=SCREAMING_SNAKE_CASE_      )
        return self.child_bar





   def a  (						self       :      Optional[int]      ) ->							Any:
        __snake_case           =						None
        self.display()




class 			_lowercase (	__lowercase							):
   def __init__(						self       :      Any      ) ->							List[Any]:
        __snake_case           =						None
        __snake_case           =						None
        __snake_case           =						False
   def a  (						self       :      Optional[Any]       ,   SCREAMING_SNAKE_CASE_       :      Any       ,   SCREAMING_SNAKE_CASE_       :      Tuple       ,   SCREAMING_SNAKE_CASE_       :      Optional[Any]       ,   **SCREAMING_SNAKE_CASE_       :      Any      ) ->							Union[str, Any]:
        __snake_case           =						'Epoch' if args.evaluation_strategy == IntervalStrategy.EPOCH else 'Step'
        __snake_case           =						0
        __snake_case           =						0
        __snake_case           =						[self.first_column] + ['Training Loss']
        if args.evaluation_strategy != IntervalStrategy.NO:
             column_names.append('Validation Loss'      )
        __snake_case           =						NotebookTrainingTracker(state.max_steps       ,   SCREAMING_SNAKE_CASE_      )
   def a  (						self       :      Union[str, Any]       ,   SCREAMING_SNAKE_CASE_       :      Union[str, Any]       ,   SCREAMING_SNAKE_CASE_       :      Union[str, Any]       ,   SCREAMING_SNAKE_CASE_       :      Union[str, Any]       ,   **SCREAMING_SNAKE_CASE_       :      Tuple      ) ->							Any:
        __snake_case           =						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       ,   )
        __snake_case           =						False
   def a  (						self       :      List[Any]       ,   SCREAMING_SNAKE_CASE_       :      Union[str, Any]       ,   SCREAMING_SNAKE_CASE_       :      Optional[Any]       ,   SCREAMING_SNAKE_CASE_       :      Optional[int]       ,   SCREAMING_SNAKE_CASE_       :      Optional[int]=None       ,   **SCREAMING_SNAKE_CASE_       :      Tuple      ) ->							Tuple:
        if not has_length(SCREAMING_SNAKE_CASE_      ):
             return
        if self.prediction_bar is None:
             if self.training_tracker is not None:
                  __snake_case           =						self.training_tracker.add_child(len(SCREAMING_SNAKE_CASE_      )      )
             else:
                  __snake_case           =						NotebookProgressBar(len(SCREAMING_SNAKE_CASE_      )      )
             self.prediction_bar.update(1      )
        else:
             self.prediction_bar.update(self.prediction_bar.value + 1      )
   def a  (						self       :      List[str]       ,   SCREAMING_SNAKE_CASE_       :      Union[str, Any]       ,   SCREAMING_SNAKE_CASE_       :      List[str]       ,   SCREAMING_SNAKE_CASE_       :      Dict       ,   **SCREAMING_SNAKE_CASE_       :      List[str]      ) ->							Optional[int]:
        if self.prediction_bar is not None:
             self.prediction_bar.close()
        __snake_case           =						None
   def a  (						self       :      Any       ,   SCREAMING_SNAKE_CASE_       :      List[Any]       ,   SCREAMING_SNAKE_CASE_       :      List[str]       ,   SCREAMING_SNAKE_CASE_       :      str       ,   SCREAMING_SNAKE_CASE_       :      List[str]=None       ,   **SCREAMING_SNAKE_CASE_       :      List[str]      ) ->							Optional[int]:
        # Only for when there is no evaluation
        if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
             __snake_case           =						{'Training Loss': logs['loss']}
             # First column is necessarily Step sine we're not in epoch eval strategy
             __snake_case           =						state.global_step
             self.training_tracker.write_line(SCREAMING_SNAKE_CASE_      )
   def a  (						self       :      Dict       ,   SCREAMING_SNAKE_CASE_       :      List[str]       ,   SCREAMING_SNAKE_CASE_       :      Tuple       ,   SCREAMING_SNAKE_CASE_       :      str       ,   SCREAMING_SNAKE_CASE_       :      Dict=None       ,   **SCREAMING_SNAKE_CASE_       :      List[str]      ) ->							List[Any]:
        if self.training_tracker is not None:
             __snake_case           =						{'Training Loss': 'No log', 'Validation Loss': 'No log'}
             for log in reversed(state.log_history      ):
                  if "loss" in log:
                       __snake_case           =						log['loss']
                       break

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





   def a  (						self       :      str       ,   SCREAMING_SNAKE_CASE_       :      Tuple       ,   SCREAMING_SNAKE_CASE_       :      Optional[Any]       ,   SCREAMING_SNAKE_CASE_       :      List[Any]       ,   **SCREAMING_SNAKE_CASE_       :      List[Any]      ) ->							Optional[Any]:
        self.training_tracker.update(
            state.global_step       ,   comment=f'Epoch {int(state.epoch      )}/{state.num_train_epochs}'       ,   force_update=SCREAMING_SNAKE_CASE_      )
        __snake_case           =						None












from math import pow, sqrt





def    __lowerCAmelCase   (    *__snake_case							):
     __lowerCAmelCase             =       len(__snake_case							) > 0 and all(value > 0.0 for value in values							)
     return result





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case							):
     return (
         round(sqrt(molar_mass_a / molar_mass_a							)       ,			6							)
         if validate(__snake_case       ,			__snake_case							)
         else ValueError("Input Error: Molar mass values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(effusion_rate * sqrt(molar_mass_a / molar_mass_a							)       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(effusion_rate / sqrt(molar_mass_a / molar_mass_a							)       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(molar_mass / pow(effusion_rate_a / effusion_rate_a       ,			2							)       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(pow(effusion_rate_a / effusion_rate_a       ,			2							) / molar_mass       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )






