
'''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        SCREAMING_SNAKE_CASE__			(     __A			) ->			Optional[int]:

	'''simple docstring'''





	_snake_case     		=	int(__A			)
	_snake_case		,				_snake_case		,				_snake_case     		=	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        SCREAMING_SNAKE_CASE__			(     __A    ,       __A    ,       __A    ,       __A    ,       __A=300			) ->			Tuple:

	'''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        SCREAMING_SNAKE_CASE__			(     __A			) ->			Tuple:

	'''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(__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   :
							__lowercase   	= 5
							__lowercase   	= 0.2


							def __init__( self					,     lowerCAmelCase_					,     lowerCAmelCase_ = None					,     lowerCAmelCase_ = True					,     lowerCAmelCase_ = None					,     lowerCAmelCase_ = 3_00					,     ):





								"""simple docstring"""






								_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 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_ = False					,     lowerCAmelCase_ = None						):





								"""simple docstring"""






								_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(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
									_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(lowerCAmelCase_						)
									_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 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_=None						):





								"""simple docstring"""






								_snake_case     		=	' ' * (len(str(self.total						)						) - len(str(lowerCAmelCase_						)						)) + str(lowerCAmelCase_						)
								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 				lowerCamelCase       ( self						):





								"""simple docstring"""






								_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=lowerCAmelCase_						)
								else:
									self.output.update(disp.HTML(self.html_code						)						)




							def 				lowerCamelCase       ( self						):





								"""simple docstring"""






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


class 		__UpperCAmelCase   (      _lowerCamelCase		):


							def __init__( self					,     lowerCAmelCase_					,     lowerCAmelCase_=None						):





								"""simple docstring"""






								super().__init__(lowerCAmelCase_						)
								_snake_case     		=	None if column_names is None else [column_names]
								_snake_case     		=	None


							def 				lowerCamelCase       ( self						):





								"""simple docstring"""






								_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=lowerCAmelCase_						)
								else:
									self.output.update(disp.HTML(self.html_code						)						)


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_						):





								"""simple docstring"""






								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(lowerCAmelCase_						)
										_snake_case     		=	columns
									self.inner_table.append([values[c] for c in columns]						)


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_=None					,     lowerCAmelCase_=3_00						):





								"""simple docstring"""






								_snake_case     		=	NotebookProgressBar(lowerCAmelCase_					,     prefix=lowerCAmelCase_					,     parent=self					,     width=lowerCAmelCase_						)
								return self.child_bar




							def 				lowerCamelCase       ( self						):





								"""simple docstring"""






								_snake_case     		=	None
								self.display()


class 		__UpperCAmelCase   (      _lowerCamelCase		):


							def __init__( self						):





								"""simple docstring"""






								_snake_case     		=	None
								_snake_case     		=	None
								_snake_case     		=	False


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_					,     **lowerCAmelCase_						):





								"""simple docstring"""






								_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					,     lowerCAmelCase_						)


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_					,     **lowerCAmelCase_						):





								"""simple docstring"""






								_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 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_=None					,     **lowerCAmelCase_						):





								"""simple docstring"""






								if not has_length(lowerCAmelCase_						):
									return
								if self.prediction_bar is None:
									if self.training_tracker is not None:
										_snake_case     		=	self.training_tracker.add_child(len(lowerCAmelCase_						)						)
									else:
										_snake_case     		=	NotebookProgressBar(len(lowerCAmelCase_						)						)
									self.prediction_bar.update(1						)
								else:
									self.prediction_bar.update(self.prediction_bar.value + 1						)


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_					,     **lowerCAmelCase_						):





								"""simple docstring"""






								if self.prediction_bar is not None:
									self.prediction_bar.close()
								_snake_case     		=	None


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_=None					,     **lowerCAmelCase_						):





								"""simple docstring"""






								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(lowerCAmelCase_						)


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_=None					,     **lowerCAmelCase_						):





								"""simple docstring"""






								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$'					,     ''					,     lowerCAmelCase_						)
									_snake_case     		=	metrics.pop('total_flos'					,     lowerCAmelCase_						)
									_snake_case     		=	metrics.pop('epoch'					,     lowerCAmelCase_						)
									_snake_case     		=	metrics.pop(F'{metric_key_prefix}_runtime'					,     lowerCAmelCase_						)
									_snake_case     		=	metrics.pop(F'{metric_key_prefix}_samples_per_second'					,     lowerCAmelCase_						)
									_snake_case     		=	metrics.pop(F'{metric_key_prefix}_steps_per_second'					,     lowerCAmelCase_						)
									_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':
											_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(lowerCAmelCase_						)
									self.training_tracker.remove_child()
									_snake_case     		=	None
									# Evaluation takes a long time so we should force the next update.
									_snake_case     		=	True




							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_					,     lowerCAmelCase_					,     **lowerCAmelCase_						):





								"""simple docstring"""






								self.training_tracker.update(
								    state.global_step					,     comment=F'Epoch {int(state.epoch						)}/{state.num_train_epochs}'					,     force_update=lowerCAmelCase_						)
								_snake_case     		=	None



'''simple docstring'''







from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


lowercase					:							Optional[Any]   =      logging.get_logger(__name__)

lowercase					:							str   =      {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

lowercase					:							Optional[Any]   =      {
    "vocab_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"
    },
    "merges_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"
    },
    "tokenizer_config_file": {
        "facebook/blenderbot_small-90M": (
            "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"
        )
    },
}

lowercase					:							List[Any]   =      {
    "facebook/blenderbot_small-90M": 512,
}


class 		__UpperCAmelCase   (      _lowerCamelCase		):
							__lowercase   	= VOCAB_FILES_NAMES
							__lowercase   	= PRETRAINED_VOCAB_FILES_MAP
							__lowercase   	= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowercase   	= BlenderbotSmallTokenizer


							def __init__( self					,     lowerCAmelCase_=None					,     lowerCAmelCase_=None					,     lowerCAmelCase_="<|endoftext|>"					,     lowerCAmelCase_="<|endoftext|>"					,     lowerCAmelCase_="<|endoftext|>"					,     lowerCAmelCase_=False					,     lowerCAmelCase_=True					,     **lowerCAmelCase_					,     ):





								"""simple docstring"""






								super().__init__(
								    ByteLevelBPETokenizer(
								        vocab=lowerCAmelCase_					,     merges=lowerCAmelCase_					,     add_prefix_space=lowerCAmelCase_					,     trim_offsets=lowerCAmelCase_					,     )					,     bos_token=lowerCAmelCase_					,     eos_token=lowerCAmelCase_					,     unk_token=lowerCAmelCase_					,     **lowerCAmelCase_					,     )
								_snake_case     		=	add_prefix_space


							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_=None						):





								"""simple docstring"""






								_snake_case     		=	[self.bos_token_id] + token_ids_a + [self.eos_token_id]
								if token_ids_a is None:
									return output

								return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]




							def 				lowerCamelCase       ( self					,     lowerCAmelCase_					,     lowerCAmelCase_ = None						):





								"""simple docstring"""






								_snake_case     		=	[self.sep_token_id]
								_snake_case     		=	[self.cls_token_id]

								if token_ids_a is None:
									return len(cls + token_ids_a + sep						) * [0]
								return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]

