



'''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			( lowerCamelCase__    ):
			'''simple docstring'''





			A_	:						List[Any]	=     int(lowerCamelCase__    )
			A_,    A_,    A_	:						Optional[int]	=     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 	a			( lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__						,      lowerCamelCase__=3_00    ):
			'''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 	a			( lowerCamelCase__    ):
			'''simple docstring'''





			A_	:						List[str]	=     """<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:
									A_	:						List[Any]	=     f'{elt:.6f}' if isinstance(lowerCamelCase__						,      lowerCamelCase__    ) else str(lowerCamelCase__    )
									html_code += f'      <td>{elt}</td>\n'
						html_code += "    </tr>\n"
			html_code += "  </tbody>\n</table><p>"
			return html_code







class 	_lowerCAmelCase							:
	__SCREAMING_SNAKE_CASE   :		List[str]					=					5
	__SCREAMING_SNAKE_CASE   :		Tuple					=					0.2


	def __init__(self       ,      lowercase       ,      lowercase = None       ,      lowercase = True       ,      lowercase = None       ,      lowercase = 300       ,      ):
				A_	:						Optional[int]	=     total
				A_	:						List[Any]	=     """""" if prefix is None else prefix
				A_	:						List[Any]	=     leave
				A_	:						str	=     parent
				A_	:						Tuple	=     width
				A_	:						str	=     None
				A_	:						List[str]	=     None
				A_	:						List[Any]	=     None


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


	def     _a	(self       ,      lowercase       ,      lowercase=None							):
				A_	:						str	=     """ """ * (len(str(self.total							)							) - len(str(lowercase							)							)) + str(lowercase							)
				if self.elapsed_time is None:
							A_	:						Optional[Any]	=     F'[{spaced_value}/{self.total} : < :'
				elif self.predicted_remaining is None:
							A_	:						Union[str, Any]	=     F'[{spaced_value}/{self.total} {format_time(self.elapsed_time							)}'
				else:
							A_	:						Union[str, 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     _a	(self							):
				A_	:						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:
							A_	:						str	=     disp.display(disp.HTML(self.html_code							)       ,      display_id=lowercase							)
				else:
							self.output.update(disp.HTML(self.html_code							)							)


	def     _a	(self							):
				if self.parent is None and self.output is not None:
							self.output.update(disp.HTML(""""""							)							)







class 	_lowerCAmelCase							(			__UpperCAmelCase ):


	def __init__(self       ,      lowercase       ,      lowercase=None							):
				super().__init__(lowercase							)
				A_	:						List[Any]	=     None if column_names is None else [column_names]
				A_	:						Any	=     None


	def     _a	(self							):
				A_	:						List[Any]	=     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:
							A_	:						str	=     disp.display(disp.HTML(self.html_code							)       ,      display_id=lowercase							)
				else:
							self.output.update(disp.HTML(self.html_code							)							)


	def     _a	(self       ,      lowercase							):
				if self.inner_table is None:
							A_	:						List[str]	=     [list(values.keys()							), list(values.values()							)]
				else:
							A_	:						Optional[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							)
										A_	:						Optional[Any]	=     columns
							self.inner_table.append([values[c] for c in columns]							)


	def     _a	(self       ,      lowercase       ,      lowercase=None       ,      lowercase=300							):
				A_	:						Union[str, Any]	=     NotebookProgressBar(lowercase       ,      prefix=lowercase       ,      parent=self       ,      width=lowercase							)
				return self.child_bar


	def     _a	(self							):
				A_	:						Dict	=     None
				self.display()







class 	_lowerCAmelCase							(			__UpperCAmelCase ):


	def __init__(self							):
				A_	:						Union[str, Any]	=     None
				A_	:						List[Any]	=     None
				A_	:						Tuple	=     False


	def     _a	(self       ,      lowercase       ,      lowercase       ,      lowercase       ,      **lowercase							):
				A_	:						Tuple	=     """Epoch""" if args.evaluation_strategy == IntervalStrategy.EPOCH else """Step"""
				A_	:						Dict	=     0
				A_	:						Optional[int]	=     0
				A_	:						str	=     [self.first_column] + ["""Training Loss"""]
				if args.evaluation_strategy != IntervalStrategy.NO:
							column_names.append("""Validation Loss"""							)
				A_	:						Tuple	=     NotebookTrainingTracker(state.max_steps       ,      lowercase							)


	def     _a	(self       ,      lowercase       ,      lowercase       ,      lowercase       ,      **lowercase							):
				A_	:						int	=     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       ,      )
				A_	:						List[Any]	=     False


	def     _a	(self       ,      lowercase       ,      lowercase       ,      lowercase       ,      lowercase=None       ,      **lowercase							):
				if not has_length(lowercase							):
							return
				if self.prediction_bar is None:
							if self.training_tracker is not None:
										A_	:						List[str]	=     self.training_tracker.add_child(len(lowercase							)							)
							else:
										A_	:						str	=     NotebookProgressBar(len(lowercase							)							)
							self.prediction_bar.update(1							)
				else:
							self.prediction_bar.update(self.prediction_bar.value + 1							)


	def     _a	(self       ,      lowercase       ,      lowercase       ,      lowercase       ,      **lowercase							):
				if self.prediction_bar is not None:
							self.prediction_bar.close()
				A_	:						Union[str, Any]	=     None


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


	def     _a	(self       ,      lowercase       ,      lowercase       ,      lowercase       ,      lowercase=None       ,      **lowercase							):
				if self.training_tracker is not None:
							A_	:						int	=     {"""Training Loss""": """No log""", """Validation Loss""": """No log"""}
							for log in reversed(state.log_history							):
										if "loss" in log:
													A_	:						Dict	=     log["""loss"""]
													break

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


	def     _a	(self       ,      lowercase       ,      lowercase       ,      lowercase       ,      **lowercase							):
				self.training_tracker.update(
				    state.global_step       ,      comment=F'Epoch {int(state.epoch							)}/{state.num_train_epochs}'       ,      force_update=lowercase							)
				A_	:						Optional[Any]	=     None




'''simple docstring'''




# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse

from .config import config_command_parser
from .config_args import default_config_file, load_config_from_file  # noqa: F401
from .default import default_command_parser
from .update import update_command_parser



def 	a			( lowerCamelCase__=None    ):
			'''simple docstring'''





			A_	:						int	=     argparse.ArgumentParser(add_help=lowerCamelCase__						,      allow_abbrev=lowerCamelCase__    )
			# The main config parser
			A_	:						int	=     config_command_parser(lowerCamelCase__    )
			# The subparser to add commands to
			A_	:						int	=     config_parser.add_subparsers(title="""subcommands"""						,      dest="""subcommand"""    )

			# Then add other parsers with the parent parser
			default_command_parser(lowerCamelCase__						,      parents=[parent_parser]    )
			update_command_parser(lowerCamelCase__						,      parents=[parent_parser]    )

			return config_parser



def 	a			( ):
			'''simple docstring'''





			A_	:						Optional[int]	=     get_config_parser()
			A_	:						List[str]	=     config_parser.parse_args()

			if not hasattr(lowerCamelCase__						,      """func"""    ):
						config_parser.print_help()
						exit(1    )

			# Run
			args.func(lowerCamelCase__    )


if __name__ == "__main__":
						main()