

"""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 	lowerCAmelCase    (       __UpperCamelCase   ):
 '''simple docstring'''





 UpperCAmelCase__       :	Optional[Any]        =       int(__UpperCamelCase   )
 UpperCAmelCase__ ,   UpperCAmelCase__ ,   UpperCAmelCase__       :	List[str]        =       t // 3600, (t // 60) % 60, t % 60
 return F"{h}:{m:02d}:{s:02d}" if h != 0 else F"{m:02d}:{s:02d}"
def 	lowerCAmelCase    (       __UpperCamelCase				,     __UpperCamelCase				,     __UpperCamelCase				,     __UpperCamelCase				,     __UpperCamelCase=300   ):
 '''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 	lowerCAmelCase    (       __UpperCamelCase   ):
 '''simple docstring'''





 UpperCAmelCase__       :	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:
   UpperCAmelCase__       :	Optional[int]        =       F"{elt:.6f}" if isinstance(__UpperCamelCase				,     __UpperCamelCase   ) else str(__UpperCamelCase   )
   html_code += F"      <td>{elt}</td>\n"
  html_code += "    </tr>\n"
 html_code += "  </tbody>\n</table><p>"
 return html_code







class   __lowercase      :
  snake_case_												=							5
  snake_case_												=							0.2

  def __init__(	self		:      int       ,A		:      int       ,A		:      Optional[str] = None       ,A		:      bool = True       ,A		:      Optional["NotebookTrainingTracker"] = None       ,A		:      int = 300       ,):






   '''simple docstring'''
   UpperCAmelCase__       :	int        =       total
   UpperCAmelCase__       :	Dict        =       """""" if prefix is None else prefix
   UpperCAmelCase__       :	List[Any]        =       leave
   UpperCAmelCase__       :	Union[str, Any]        =       parent
   UpperCAmelCase__       :	str        =       width
   UpperCAmelCase__       :	Optional[Any]        =       None
   UpperCAmelCase__       :	int        =       None
   UpperCAmelCase__       :	Dict        =       None

  def  __lowercase							(	self		:      Tuple       ,A		:      int       ,A		:      bool = False       ,A		:      str = None     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Dict        =       value
   if comment is not None:
    UpperCAmelCase__       :	Optional[int]        =       comment
   if self.last_value is None:
    UpperCAmelCase__       :	Optional[Any]        =       time.time()
    UpperCAmelCase__       :	int        =       value
    UpperCAmelCase__       :	Dict        =       None
    UpperCAmelCase__       :	Any        =       self.warmup
    UpperCAmelCase__       :	Tuple        =       1
    self.update_bar(A     )
   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__       :	int        =       time.time()
    UpperCAmelCase__       :	str        =       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__       :	Union[str, Any]        =       self.elapsed_time / (value - self.start_value)
    else:
     UpperCAmelCase__       :	List[Any]        =       None
    if value >= self.total:
     UpperCAmelCase__       :	Optional[int]        =       self.total
     UpperCAmelCase__       :	List[Any]        =       None
     if not self.leave:
      self.close()
    elif self.average_time_per_item is not None:
     UpperCAmelCase__       :	Optional[Any]        =       self.average_time_per_item * (self.total - value)
    self.update_bar(A     )
    UpperCAmelCase__       :	Tuple        =       value
    UpperCAmelCase__       :	List[str]        =       current_time
    if self.average_time_per_item is None:
     UpperCAmelCase__       :	List[str]        =       1
    else:
     UpperCAmelCase__       :	Any        =       max(int(self.update_every / self.average_time_per_item     )       ,1     )

  def  __lowercase							(	self		:      str       ,A		:      int       ,A		:      List[str]=None     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Optional[int]        =       """ """ * (len(str(self.total     )     ) - len(str(A     )     )) + str(A     )
   if self.elapsed_time is None:
    UpperCAmelCase__       :	Tuple        =       f"[{spaced_value}/{self.total} : < :"
   elif self.predicted_remaining is None:
    UpperCAmelCase__       :	Any        =       f"[{spaced_value}/{self.total} {format_time(self.elapsed_time     )}"
   else:
    UpperCAmelCase__       :	List[Any]        =       (
        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  __lowercase							(	self		:      List[Any]     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Dict        =       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__       :	str        =       disp.display(disp.HTML(self.html_code     )       ,display_id=A     )
   else:
    self.output.update(disp.HTML(self.html_code     )     )




  def  __lowercase							(	self		:      Optional[int]     ):






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







class   __lowercase      (     __lowerCamelCase       ):

  def __init__(	self		:      Dict       ,A		:      Optional[int]       ,A		:      Dict=None     ):






   '''simple docstring'''
   super().__init__(A     )
   UpperCAmelCase__       :	Union[str, Any]        =       None if column_names is None else [column_names]
   UpperCAmelCase__       :	Union[str, Any]        =       None

  def  __lowercase							(	self		:      Optional[int]     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Tuple        =       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__       :	Dict        =       disp.display(disp.HTML(self.html_code     )       ,display_id=A     )
   else:
    self.output.update(disp.HTML(self.html_code     )     )

  def  __lowercase							(	self		:      Any       ,A		:      List[Any]     ):






   '''simple docstring'''
   if self.inner_table is None:
    UpperCAmelCase__       :	Union[str, Any]        =       [list(values.keys()     ), list(values.values()     )]
   else:
    UpperCAmelCase__       :	List[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(A     )
     UpperCAmelCase__       :	Dict        =       columns
    self.inner_table.append([values[c] for c in columns]     )

  def  __lowercase							(	self		:      List[Any]       ,A		:      int       ,A		:      Dict=None       ,A		:      str=300     ):






   '''simple docstring'''
   UpperCAmelCase__       :	List[str]        =       NotebookProgressBar(A       ,prefix=A       ,parent=self       ,width=A     )
   return self.child_bar




  def  __lowercase							(	self		:      Dict     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Optional[Any]        =       None
   self.display()







class   __lowercase      (     __lowerCamelCase       ):

  def __init__(	self		:      Optional[Any]     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Dict        =       None
   UpperCAmelCase__       :	Any        =       None
   UpperCAmelCase__       :	Any        =       False

  def  __lowercase							(	self		:      Tuple       ,A		:      Optional[Any]       ,A		:      int       ,A		:      str       ,**A		:      int     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Any        =       """Epoch""" if args.evaluation_strategy == IntervalStrategy.EPOCH else """Step"""
   UpperCAmelCase__       :	Any        =       0
   UpperCAmelCase__       :	List[str]        =       0
   UpperCAmelCase__       :	int        =       [self.first_column] + ["""Training Loss"""]
   if args.evaluation_strategy != IntervalStrategy.NO:
    column_names.append("""Validation Loss"""     )
   UpperCAmelCase__       :	Tuple        =       NotebookTrainingTracker(state.max_steps       ,A     )

  def  __lowercase							(	self		:      List[Any]       ,A		:      Optional[Any]       ,A		:      List[str]       ,A		:      int       ,**A		:      List[str]     ):






   '''simple docstring'''
   UpperCAmelCase__       :	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       ,)
   UpperCAmelCase__       :	Any        =       False

  def  __lowercase							(	self		:      Tuple       ,A		:      Dict       ,A		:      Union[str, Any]       ,A		:      List[Any]       ,A		:      List[str]=None       ,**A		:      Optional[Any]     ):






   '''simple docstring'''
   if not has_length(A     ):
    return
   if self.prediction_bar is None:
    if self.training_tracker is not None:
     UpperCAmelCase__       :	Optional[int]        =       self.training_tracker.add_child(len(A     )     )
    else:
     UpperCAmelCase__       :	int        =       NotebookProgressBar(len(A     )     )
    self.prediction_bar.update(1     )
   else:
    self.prediction_bar.update(self.prediction_bar.value + 1     )

  def  __lowercase							(	self		:      List[str]       ,A		:      Optional[int]       ,A		:      Any       ,A		:      Union[str, Any]       ,**A		:      Optional[int]     ):






   '''simple docstring'''
   if self.prediction_bar is not None:
    self.prediction_bar.close()
   UpperCAmelCase__       :	List[str]        =       None

  def  __lowercase							(	self		:      List[str]       ,A		:      Any       ,A		:      Optional[Any]       ,A		:      List[Any]       ,A		:      Optional[Any]=None       ,**A		:      str     ):






   '''simple docstring'''
   # Only for when there is no evaluation
   if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
    UpperCAmelCase__       :	List[Any]        =       {"""Training Loss""": logs["""loss"""]}
    # First column is necessarily Step sine we're not in epoch eval strategy
    UpperCAmelCase__       :	str        =       state.global_step
    self.training_tracker.write_line(A     )

  def  __lowercase							(	self		:      Optional[Any]       ,A		:      Tuple       ,A		:      List[str]       ,A		:      int       ,A		:      str=None       ,**A		:      List[Any]     ):






   '''simple docstring'''
   if self.training_tracker is not None:
    UpperCAmelCase__       :	List[Any]        =       {"""Training Loss""": """No log""", """Validation Loss""": """No log"""}
    for log in reversed(state.log_history     ):
     if "loss" in log:
      UpperCAmelCase__       :	Optional[int]        =       log["""loss"""]
      break

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




  def  __lowercase							(	self		:      Dict       ,A		:      Optional[Any]       ,A		:      Optional[int]       ,A		:      int       ,**A		:      int     ):






   '''simple docstring'''
   self.training_tracker.update(
       state.global_step       ,comment=f"Epoch {int(state.epoch     )}/{state.num_train_epochs}"       ,force_update=A     )
   UpperCAmelCase__       :	List[Any]        =       None









from PIL import Image




def    a__    (		snake_case__					:							Image						,   snake_case__					:							int     ):
  _UpperCAmelCase		:							Optional[Any]							=     (259 * (level + 255)) / (255 * (259 - level))

  def contrast(snake_case__					:							int     ) -> int:
    return int(128 + factor * (c - 128)     )

  return img.point(snake_case__     )


if __name__ == "__main__":
 # Load image
 with Image.open('image_data/lena.jpg') as img:
  # Change contrast to 170
  SCREAMING_SNAKE_CASE__					:     int       =     change_contrast(img, 170)
  cont_img.save('image_data/lena_high_contrast.png', format='png')





