
'''simple docstring'''





def      A (       A_							:					int    ,							A_							:					int       ):
						return "\n".join(
						    F"""{number} * {i} = {number * i}""" for i in range(1    ,							number_of_terms + 1       )       )


if __name__ == "__main__":
						print(multiplication_table(number=5, number_of_terms=10))



'''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 (       A_							:					str       ):
						snake_case       :     List[str] =    int(A_       )
						snake_case,					snake_case,					snake_case       :     Any =    t // 3600, (t // 60) % 60, t % 60
						return F"""{h}:{m:02d}:{s:02d}""" if h != 0 else F"""{m:02d}:{s:02d}"""

def      A (       A_							:					Optional[int]    ,							A_							:					int    ,							A_							:					List[str]    ,							A_							:					Optional[int]    ,							A_							:					Optional[int]=300       ):
						# docstyle-ignore
						return F"""
    <div>
      {prefix}
      <progress value='{value}' max='{total}' style='width:{width}px; height:20px; vertical-align: middle;'></progress>
      {label}
    </div>
    """

def      A (       A_							:					Dict       ):
						snake_case       :     Tuple =    '''<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       :     List[str] =    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   :
				_snake_case		    = 5
				_snake_case		    = 0.2




				def __init__(							self	:				Union[str, Any],    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 = 3_00,    ):
										snake_case       :     List[Any] =    total
										snake_case       :     Union[str, Any] =    '''''' if prefix is None else prefix
										snake_case       :     List[Any] =    leave
										snake_case       :     int =    parent
										snake_case       :     List[str] =    width
										snake_case       :     Optional[int] =    None
										snake_case       :     Optional[Any] =    None
										snake_case       :     Tuple =    None




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




				def 	__snake_case							(							self	:				Any,    SCREAMING_SNAKE_CASE_	:				List[str],    SCREAMING_SNAKE_CASE_	:				Optional[Any]=None      ):
										snake_case       :     Optional[Any] =    ''' ''' * (len(str(self.total      )      ) - len(str(SCREAMING_SNAKE_CASE_      )      )) + str(SCREAMING_SNAKE_CASE_      )
										if self.elapsed_time is None:
																snake_case       :     int =    F"""[{spaced_value}/{self.total} : < :"""
										elif self.predicted_remaining is None:
																snake_case       :     List[str] =    F"""[{spaced_value}/{self.total} {format_time(self.elapsed_time      )}"""
										else:
																snake_case       :     Optional[int] =    (
																    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	:				Optional[int]      ):
										snake_case       :     str =    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       :     Any =    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	:				Optional[int]      ):
										if self.parent is None and self.output is not None:
																self.output.update(disp.HTML(''''''      )      )




class 						a   (				__magic_name__    ):




				def __init__(							self	:				List[str],    SCREAMING_SNAKE_CASE_	:				List[str],    SCREAMING_SNAKE_CASE_	:				Optional[int]=None      ):
										super().__init__(SCREAMING_SNAKE_CASE_      )
										snake_case       :     Tuple =    None if column_names is None else [column_names]
										snake_case       :     str =    None




				def 	__snake_case							(							self	:				Dict      ):
										snake_case       :     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:
																snake_case       :     List[Any] =    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[str],    SCREAMING_SNAKE_CASE_	:				Any      ):
										if self.inner_table is None:
																snake_case       :     Optional[Any] =    [list(values.keys()      ), list(values.values()      )]
										else:
																snake_case       :     Tuple =    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       :     int =    columns
																self.inner_table.append([values[c] for c in columns]      )




				def 	__snake_case							(							self	:				Tuple,    SCREAMING_SNAKE_CASE_	:				Optional[Any],    SCREAMING_SNAKE_CASE_	:				int=None,    SCREAMING_SNAKE_CASE_	:				str=3_00      ):
										snake_case       :     int =    NotebookProgressBar(SCREAMING_SNAKE_CASE_,    prefix=SCREAMING_SNAKE_CASE_,    parent=self,    width=SCREAMING_SNAKE_CASE_      )
										return self.child_bar




				def 	__snake_case							(							self	:				Union[str, Any]      ):
										snake_case       :     int =    None
										self.display()




class 						a   (				__magic_name__    ):




				def __init__(							self	:				Optional[Any]      ):
										snake_case       :     Dict =    None
										snake_case       :     Union[str, Any] =    None
										snake_case       :     Dict =    False




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




				def 	__snake_case							(							self	:				Tuple,    SCREAMING_SNAKE_CASE_	:				List[Any],    SCREAMING_SNAKE_CASE_	:				Dict,    SCREAMING_SNAKE_CASE_	:				str,    **SCREAMING_SNAKE_CASE_	:				Union[str, Any]      ):
										snake_case       :     Tuple =    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       :     str =    False




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




				def 	__snake_case							(							self	:				Optional[int],    SCREAMING_SNAKE_CASE_	:				Any,    SCREAMING_SNAKE_CASE_	:				Dict,    SCREAMING_SNAKE_CASE_	:				Union[str, Any],    **SCREAMING_SNAKE_CASE_	:				List[Any]      ):
										if self.prediction_bar is not None:
																self.prediction_bar.close()
										snake_case       :     Optional[int] =    None




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




				def 	__snake_case							(							self	:				Any,    SCREAMING_SNAKE_CASE_	:				Optional[int],    SCREAMING_SNAKE_CASE_	:				List[str],    SCREAMING_SNAKE_CASE_	:				List[str],    SCREAMING_SNAKE_CASE_	:				Optional[Any]=None,    **SCREAMING_SNAKE_CASE_	:				Any      ):
										if self.training_tracker is not None:
																snake_case       :     List[Any] =    {'''Training Loss''': '''No log''', '''Validation Loss''': '''No log'''}
																for log in reversed(state.log_history      ):
																						if "loss" in log:
																												snake_case       :     Union[str, Any] =    log['''loss''']
																												break

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




				def 	__snake_case							(							self	:				List[str],    SCREAMING_SNAKE_CASE_	:				List[Any],    SCREAMING_SNAKE_CASE_	:				List[str],    SCREAMING_SNAKE_CASE_	:				Dict,    **SCREAMING_SNAKE_CASE_	:				str      ):
										self.training_tracker.update(
										    state.global_step,    comment=F"""Epoch {int(state.epoch      )}/{state.num_train_epochs}""",    force_update=SCREAMING_SNAKE_CASE_      )
										snake_case       :     Tuple =    None

