

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       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					int(_A       )
     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__					=					t // 36_00, (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=3_00       ):





     '''simple docstring'''




     return F'''
    <div>
      {prefix}
      <progress value=\'{value}\' max=\'{total}\' style=\'width:{width}px; height:20px; vertical-align: middle;\'></progress>
      {label}
    </div>
    '''
def        UpperCAmelCase_     (		_A       ):





     '''simple docstring'''




     SCREAMING_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:
               SCREAMING_SNAKE_CASE__					=					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  UpperCAmelCase__	:






  """simple docstring"""


  a     =      5
  a     =      0.2






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






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






  def    lowercase_	(							self		:	int			,     __lowerCamelCase		:	Optional[int]			,     __lowerCamelCase		:	Optional[int]=None      )	->							str:
       SCREAMING_SNAKE_CASE__					=					''' ''' * (len(str(self.total      )      ) - len(str(__lowerCamelCase      )      )) + str(__lowerCamelCase      )
       if self.elapsed_time is None:
            SCREAMING_SNAKE_CASE__					=					f'''[{spaced_value}/{self.total} : < :'''
       elif self.predicted_remaining is None:
            SCREAMING_SNAKE_CASE__					=					f'''[{spaced_value}/{self.total} {format_time(self.elapsed_time      )}'''
       else:
            SCREAMING_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    lowercase_	(							self		:	int      )	->							Dict:
       SCREAMING_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:
            SCREAMING_SNAKE_CASE__					=					disp.display(disp.HTML(self.html_code      )			,     display_id=__lowerCamelCase      )
       else:
            self.output.update(disp.HTML(self.html_code      )      )







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






class  UpperCAmelCase__	( A__ ):






  """simple docstring"""


  def __init__(							self		:	Tuple			,     __lowerCamelCase		:	Union[str, Any]			,     __lowerCamelCase		:	str=None      )	->							List[Any]:
       super().__init__(__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					None if column_names is None else [column_names]
       SCREAMING_SNAKE_CASE__					=					None






  def    lowercase_	(							self		:	Tuple      )	->							List[str]:
       SCREAMING_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:
            SCREAMING_SNAKE_CASE__					=					disp.display(disp.HTML(self.html_code      )			,     display_id=__lowerCamelCase      )
       else:
            self.output.update(disp.HTML(self.html_code      )      )






  def    lowercase_	(							self		:	Any			,     __lowerCamelCase		:	List[Any]      )	->							Optional[int]:
       if self.inner_table is None:
            SCREAMING_SNAKE_CASE__					=					[list(values.keys()      ), list(values.values()      )]
       else:
            SCREAMING_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(__lowerCamelCase      )
                 SCREAMING_SNAKE_CASE__					=					columns
            self.inner_table.append([values[c] for c in columns]      )






  def    lowercase_	(							self		:	Any			,     __lowerCamelCase		:	Optional[int]			,     __lowerCamelCase		:	Optional[Any]=None			,     __lowerCamelCase		:	Union[str, Any]=300      )	->							Optional[int]:
       SCREAMING_SNAKE_CASE__					=					NotebookProgressBar(__lowerCamelCase			,     prefix=__lowerCamelCase			,     parent=self			,     width=__lowerCamelCase      )
       return self.child_bar







  def    lowercase_	(							self		:	Any      )	->							Dict:
       SCREAMING_SNAKE_CASE__					=					None
       self.display()






class  UpperCAmelCase__	( A__ ):






  """simple docstring"""


  def __init__(							self		:	str      )	->							Optional[int]:
       SCREAMING_SNAKE_CASE__					=					None
       SCREAMING_SNAKE_CASE__					=					None
       SCREAMING_SNAKE_CASE__					=					False






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






  def    lowercase_	(							self		:	Dict			,     __lowerCamelCase		:	str			,     __lowerCamelCase		:	int			,     __lowerCamelCase		:	Any			,     **__lowerCamelCase		:	str      )	->							int:
       SCREAMING_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			,     )
       SCREAMING_SNAKE_CASE__					=					False






  def    lowercase_	(							self		:	Tuple			,     __lowerCamelCase		:	List[Any]			,     __lowerCamelCase		:	Any			,     __lowerCamelCase		:	Optional[int]			,     __lowerCamelCase		:	str=None			,     **__lowerCamelCase		:	Tuple      )	->							Tuple:
       if not has_length(__lowerCamelCase      ):
            return
       if self.prediction_bar is None:
            if self.training_tracker is not None:
                 SCREAMING_SNAKE_CASE__					=					self.training_tracker.add_child(len(__lowerCamelCase      )      )
            else:
                 SCREAMING_SNAKE_CASE__					=					NotebookProgressBar(len(__lowerCamelCase      )      )
            self.prediction_bar.update(1      )
       else:
            self.prediction_bar.update(self.prediction_bar.value + 1      )






  def    lowercase_	(							self		:	Any			,     __lowerCamelCase		:	Union[str, Any]			,     __lowerCamelCase		:	Dict			,     __lowerCamelCase		:	str			,     **__lowerCamelCase		:	Any      )	->							Dict:
       if self.prediction_bar is not None:
            self.prediction_bar.close()
       SCREAMING_SNAKE_CASE__					=					None






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






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

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







  def    lowercase_	(							self		:	Optional[Any]			,     __lowerCamelCase		:	Dict			,     __lowerCamelCase		:	Union[str, Any]			,     __lowerCamelCase		:	int			,     **__lowerCamelCase		:	Union[str, Any]      )	->							Union[str, Any]:
       self.training_tracker.update(
           state.global_step			,     comment=f'''Epoch {int(state.epoch      )}/{state.num_train_epochs}'''			,     force_update=__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					None





import doctest
from collections import deque

import numpy as np






class  UpperCAmelCase__	:






  """simple docstring"""


  def __init__(							self		:	Optional[Any]      )	->							None:
       SCREAMING_SNAKE_CASE__					=					[2, 1, 2, -1]
       SCREAMING_SNAKE_CASE__					=					[1, 2, 3, 4]







  def    lowercase_	(							self		:	List[str]      )	->							list[float]:
       SCREAMING_SNAKE_CASE__					=					len(self.first_signal      )
       SCREAMING_SNAKE_CASE__					=					len(self.second_signal      )

       SCREAMING_SNAKE_CASE__					=					max(__lowerCamelCase			,     __lowerCamelCase      )

       # create a zero matrix of max_length x max_length
       SCREAMING_SNAKE_CASE__					=					[[0] * max_length for i in range(__lowerCamelCase      )]

       # fills the smaller signal with zeros to make both signals of same length
       if length_first_signal < length_second_signal:
            self.first_signal += [0] * (max_length - length_first_signal)
       elif length_first_signal > length_second_signal:
            self.second_signal += [0] * (max_length - length_second_signal)
       for i in range(__lowerCamelCase      ):
            SCREAMING_SNAKE_CASE__					=					deque(self.second_signal      )
            rotated_signal.rotate(__lowerCamelCase      )
            for j, item in enumerate(__lowerCamelCase      ):
                 matrix[i][j] += item

        # multiply the matrix with the first signal
       SCREAMING_SNAKE_CASE__					=					np.matmul(np.transpose(__lowerCamelCase      )			,     np.transpose(self.first_signal      )      )

       # rounding-off to two decimal places
       return [round(__lowerCamelCase			,     2      ) for i in final_signal]


if __name__ == "__main__":
       doctest.testmod()


