



"""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 __lowercase    (							_a					):
    snake_case_				:  List[str]       =			int(_a					)
    snake_case_,			snake_case_,			snake_case_				:  int       =			t // 3_600, (t // 60) % 60, t % 60
    return f"{h}:{m:02d}:{s:02d}" if h != 0 else f"{m:02d}:{s:02d}"




def __lowercase    (							_a	,    _a	,    _a	,    _a	,    _a=300					):
    # 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 __lowercase    (							_a					):
    snake_case_				:  Union[str, Any]       =			'''<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_				:  Optional[int]       =			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 :
 _lowerCAmelCase     :    Optional[int]	      =	5
 _lowerCAmelCase     :    List[str]	      =	0.2

 def __init__(  self	: List[Any]						,  lowercase_	: int						,  lowercase_	: Optional[str] = None						,  lowercase_	: bool = True						,  lowercase_	: Optional["NotebookTrainingTracker"] = None						,  lowercase_	: int = 300						,  ):
     snake_case_				:  Dict       =			total
     snake_case_				:  Dict       =			'''''' if prefix is None else prefix
     snake_case_				:  Union[str, Any]       =			leave
     snake_case_				:  str       =			parent
     snake_case_				:  Union[str, Any]       =			width
     snake_case_				:  List[str]       =			None
     snake_case_				:  List[str]       =			None
     snake_case_				:  List[Any]       =			None

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

 def 		_snake_case      (  self	: int						,  lowercase_	: Tuple						,  lowercase_	: str=None       ):
     snake_case_				:  List[str]       =			''' ''' * (len(str(self.total       )       ) - len(str(lowercase_       )       )) + str(lowercase_       )
     if self.elapsed_time is None:
         snake_case_				:  Tuple       =			f"[{spaced_value}/{self.total} : < :"
     elif self.predicted_remaining is None:
         snake_case_				:  Dict       =			f"[{spaced_value}/{self.total} {format_time(self.elapsed_time       )}"
     else:
         snake_case_				:  Tuple       =			(
             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	: int       ):
     snake_case_				:  List[Any]       =			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_				:  str       =			disp.display(disp.HTML(self.html_code       )						,  display_id=lowercase_       )
     else:
         self.output.update(disp.HTML(self.html_code       )       )






 def 		_snake_case      (  self	: str       ):
     if self.parent is None and self.output is not None:
         self.output.update(disp.HTML(''''''       )       )





class  _UpperCAmelCase (    lowerCAmelCase__):

 def __init__(  self	: Dict						,  lowercase_	: Tuple						,  lowercase_	: int=None       ):
     super().__init__(lowercase_       )
     snake_case_				:  int       =			None if column_names is None else [column_names]
     snake_case_				:  Optional[int]       =			None

 def 		_snake_case      (  self	: int       ):
     snake_case_				:  Dict       =			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_				:  Any       =			disp.display(disp.HTML(self.html_code       )						,  display_id=lowercase_       )
     else:
         self.output.update(disp.HTML(self.html_code       )       )

 def 		_snake_case      (  self	: int						,  lowercase_	: Union[str, Any]       ):
     if self.inner_table is None:
         snake_case_				:  str       =			[list(values.keys()       ), list(values.values()       )]
     else:
         snake_case_				:  int       =			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(lowercase_       )
             snake_case_				:  Optional[int]       =			columns
         self.inner_table.append([values[c] for c in columns]       )

 def 		_snake_case      (  self	: int						,  lowercase_	: Optional[Any]						,  lowercase_	: int=None						,  lowercase_	: Any=300       ):
     snake_case_				:  str       =			NotebookProgressBar(lowercase_						,  prefix=lowercase_						,  parent=self						,  width=lowercase_       )
     return self.child_bar






 def 		_snake_case      (  self	: Union[str, Any]       ):
     snake_case_				:  Optional[Any]       =			None
     self.display()





class  _UpperCAmelCase (    lowerCAmelCase__):

 def __init__(  self	: List[Any]       ):
     snake_case_				:  Optional[int]       =			None
     snake_case_				:  Any       =			None
     snake_case_				:  int       =			False

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

 def 		_snake_case      (  self	: str						,  lowercase_	: List[Any]						,  lowercase_	: Any						,  lowercase_	: Union[str, Any]						,  **lowercase_	: int       ):
     snake_case_				:  List[Any]       =			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_				:  Tuple       =			False

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

 def 		_snake_case      (  self	: Union[str, Any]						,  lowercase_	: Optional[int]						,  lowercase_	: Union[str, Any]						,  lowercase_	: List[Any]						,  **lowercase_	: int       ):
     if self.prediction_bar is not None:
         self.prediction_bar.close()
     snake_case_				:  List[Any]       =			None

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

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

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






 def 		_snake_case      (  self	: int						,  lowercase_	: int						,  lowercase_	: Optional[Any]						,  lowercase_	: Optional[int]						,  **lowercase_	: str       ):
     self.training_tracker.update(
         state.global_step						,  comment=f"Epoch {int(state.epoch       )}/{state.num_train_epochs}"						,  force_update=lowercase_       )
     snake_case_				:  List[str]       =			None










"""simple docstring"""

def __lowercase    (							_a	,    _a					):
    snake_case_				:  str       =			[0 for i in range(r + 1					)]
    # nc0 = 1
    snake_case_				:  int       =			1
    for i in range(1	,    n + 1					):
        # to compute current row from previous row.
        snake_case_				:  Any       =			min(_a	,    _a					)
        while j > 0:
            c[j] += c[j - 1]
            j -= 1
    return c[r]






print(binomial_coefficient(n=10, r=5))





