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    lowerCAmelCase_  (		lowercase:				Tuple		)     ->					List[Any]:







 '''simple docstring'''
 _UpperCamelCase:  str    						=			int(lowercase		)
 _UpperCamelCase						,				_UpperCamelCase						,				_UpperCamelCase:  Union[str, Any]    						=			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    lowerCAmelCase_  (		lowercase:				List[str]	,       lowercase:				List[str]	,       lowercase:				Tuple	,       lowercase:				Optional[int]	,       lowercase:				List[str]=300		)     ->					Dict:







 '''simple docstring'''
 # docstyle-ignore
 return F"""
    <div>
      {prefix}
      <progress value='{value}' max='{total}' style='width:{width}px; height:20px; vertical-align: middle;'></progress>
      {label}
    </div>
    """




def    lowerCAmelCase_  (		lowercase:				List[Any]		)     ->					List[str]:







 '''simple docstring'''
 _UpperCamelCase:  Dict    						=			'''<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:
   _UpperCamelCase:  Dict    						=			F"""{elt:.6f}""" if isinstance(lowercase	,       lowercase		) else str(lowercase		)
   html_code += F"""      <td>{elt}</td>\n"""
  html_code += "    </tr>\n"
 html_code += "  </tbody>\n</table><p>"
 return html_code




class 			__magic_name__	:





   """simple docstring"""




   lowerCAmelCase   :     List[str]	      = 5
   lowerCAmelCase   :     Tuple	      = 0.2



   def __init__(						self       :	List[Any]		,	_lowercase       :	int		,	_lowercase       :	Optional[str] = None		,	_lowercase       :	bool = True		,	_lowercase       :	Optional["NotebookTrainingTracker"] = None		,	_lowercase       :	int = 300		,	):



    """simple docstring"""



    _UpperCamelCase:  Optional[Any]    						=			total
    _UpperCamelCase:  int    						=			'''''' if prefix is None else prefix
    _UpperCamelCase:  int    						=			leave
    _UpperCamelCase:  Tuple    						=			parent
    _UpperCamelCase:  Union[str, Any]    						=			width
    _UpperCamelCase:  Any    						=			None
    _UpperCamelCase:  List[str]    						=			None
    _UpperCamelCase:  List[str]    						=			None



   def 	lowerCAmelCase    (						self       :	Tuple		,	_lowercase       :	int		,	_lowercase       :	bool = False		,	_lowercase       :	str = None				):



    """simple docstring"""



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



   def 	lowerCAmelCase    (						self       :	int		,	_lowercase       :	int		,	_lowercase       :	Optional[Any]=None				):



    """simple docstring"""



    _UpperCamelCase:  Optional[int]    						=			''' ''' * (len(str(self.total				)				) - len(str(_lowercase				)				)) + str(_lowercase				)
    if self.elapsed_time is None:
     _UpperCamelCase:  Union[str, Any]    						=			f"""[{spaced_value}/{self.total} : < :"""
    elif self.predicted_remaining is None:
     _UpperCamelCase:  int    						=			f"""[{spaced_value}/{self.total} {format_time(self.elapsed_time				)}"""
    else:
     _UpperCamelCase:  Dict    						=			(
         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       :	int				):



    """simple docstring"""



    _UpperCamelCase:  int    						=			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:
     _UpperCamelCase:  List[str]    						=			disp.display(disp.HTML(self.html_code				)		,	display_id=_lowercase				)
    else:
     self.output.update(disp.HTML(self.html_code				)				)



   def 	lowerCAmelCase    (						self       :	Union[str, Any]				):



    """simple docstring"""



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




class 			__magic_name__	(		__a     ):





   """simple docstring"""




   def __init__(						self       :	str		,	_lowercase       :	Any		,	_lowercase       :	int=None				):



    """simple docstring"""



    super().__init__(_lowercase				)
    _UpperCamelCase:  Dict    						=			None if column_names is None else [column_names]
    _UpperCamelCase:  Any    						=			None



   def 	lowerCAmelCase    (						self       :	List[Any]				):



    """simple docstring"""



    _UpperCamelCase:  str    						=			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:
     _UpperCamelCase:  Optional[int]    						=			disp.display(disp.HTML(self.html_code				)		,	display_id=_lowercase				)
    else:
     self.output.update(disp.HTML(self.html_code				)				)



   def 	lowerCAmelCase    (						self       :	str		,	_lowercase       :	str				):



    """simple docstring"""



    if self.inner_table is None:
     _UpperCamelCase:  Optional[int]    						=			[list(values.keys()				), list(values.values()				)]
    else:
     _UpperCamelCase:  List[str]    						=			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				)
      _UpperCamelCase:  int    						=			columns
     self.inner_table.append([values[c] for c in columns]				)



   def 	lowerCAmelCase    (						self       :	Union[str, Any]		,	_lowercase       :	List[Any]		,	_lowercase       :	Optional[int]=None		,	_lowercase       :	int=300				):



    """simple docstring"""



    _UpperCamelCase:  Optional[int]    						=			NotebookProgressBar(_lowercase		,	prefix=_lowercase		,	parent=self		,	width=_lowercase				)
    return self.child_bar



   def 	lowerCAmelCase    (						self       :	List[str]				):



    """simple docstring"""



    _UpperCamelCase:  Dict    						=			None
    self.display()




class 			__magic_name__	(		__a     ):





   """simple docstring"""




   def __init__(						self       :	Union[str, Any]				):



    """simple docstring"""



    _UpperCamelCase:  List[Any]    						=			None
    _UpperCamelCase:  List[Any]    						=			None
    _UpperCamelCase:  Optional[Any]    						=			False



   def 	lowerCAmelCase    (						self       :	int		,	_lowercase       :	Tuple		,	_lowercase       :	List[Any]		,	_lowercase       :	Any		,	**_lowercase       :	Union[str, Any]				):



    """simple docstring"""



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



   def 	lowerCAmelCase    (						self       :	Tuple		,	_lowercase       :	List[str]		,	_lowercase       :	Union[str, Any]		,	_lowercase       :	Union[str, Any]		,	**_lowercase       :	Tuple				):



    """simple docstring"""



    _UpperCamelCase:  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		,	)
    _UpperCamelCase:  Dict    						=			False



   def 	lowerCAmelCase    (						self       :	List[Any]		,	_lowercase       :	List[str]		,	_lowercase       :	Union[str, Any]		,	_lowercase       :	List[Any]		,	_lowercase       :	Optional[int]=None		,	**_lowercase       :	int				):



    """simple docstring"""



    if not has_length(_lowercase				):
     return
    if self.prediction_bar is None:
     if self.training_tracker is not None:
      _UpperCamelCase:  Dict    						=			self.training_tracker.add_child(len(_lowercase				)				)
     else:
      _UpperCamelCase:  Tuple    						=			NotebookProgressBar(len(_lowercase				)				)
     self.prediction_bar.update(1				)
    else:
     self.prediction_bar.update(self.prediction_bar.value + 1				)



   def 	lowerCAmelCase    (						self       :	List[Any]		,	_lowercase       :	str		,	_lowercase       :	Any		,	_lowercase       :	int		,	**_lowercase       :	Union[str, Any]				):



    """simple docstring"""



    if self.prediction_bar is not None:
     self.prediction_bar.close()
    _UpperCamelCase:  Union[str, Any]    						=			None



   def 	lowerCAmelCase    (						self       :	Tuple		,	_lowercase       :	str		,	_lowercase       :	List[str]		,	_lowercase       :	Any		,	_lowercase       :	Dict=None		,	**_lowercase       :	Dict				):



    """simple docstring"""



    if args.evaluation_strategy == IntervalStrategy.NO and "loss" in logs:
     _UpperCamelCase:  int    						=			{'''Training Loss''': logs['''loss''']}
     # First column is necessarily Step sine we're not in epoch eval strategy
     _UpperCamelCase:  List[Any]    						=			state.global_step
     self.training_tracker.write_line(_lowercase				)



   def 	lowerCAmelCase    (						self       :	Tuple		,	_lowercase       :	Any		,	_lowercase       :	Optional[Any]		,	_lowercase       :	List[str]		,	_lowercase       :	Any=None		,	**_lowercase       :	List[Any]				):



    """simple docstring"""



    if self.training_tracker is not None:
     _UpperCamelCase:  Tuple    						=			{'''Training Loss''': '''No log''', '''Validation Loss''': '''No log'''}
     for log in reversed(state.log_history				):
      if "loss" in log:
       _UpperCamelCase:  Dict    						=			log['''loss''']
       break

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



   def 	lowerCAmelCase    (						self       :	Optional[int]		,	_lowercase       :	Optional[Any]		,	_lowercase       :	Union[str, Any]		,	_lowercase       :	int		,	**_lowercase       :	Optional[int]				):



    """simple docstring"""



    self.training_tracker.update(
        state.global_step		,	comment=f"""Epoch {int(state.epoch				)}/{state.num_train_epochs}"""		,	force_update=_lowercase				)
    _UpperCamelCase:  Dict    						=			None
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# 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.

# this script dumps information about the environment

import os
import platform
import sys


UpperCAmelCase_           =				'''3'''

print('''Python version:''', sys.version)

print('''OS platform:''', platform.platform())
print('''OS architecture:''', platform.machine())

try:
  import torch

  print('''Torch version:''', torch.__version__)
  print('''Cuda available:''', torch.cuda.is_available())
  print('''Cuda version:''', torch.version.cuda)
  print('''CuDNN version:''', torch.backends.cudnn.version())
  print('''Number of GPUs available:''', torch.cuda.device_count())
except ImportError:
  print('''Torch version:''', None)

try:
  import transformers

  print('''transformers version:''', transformers.__version__)
except ImportError:
  print('''transformers version:''', None)