


"""simple docstring"""




import argparse
import datetime
import io
import itertools
import json
import math
import os
import platform
import re
import shlex
import subprocess
import sys
from pathlib import Path
from statistics import fmean

import pandas as pd
import torch
from tqdm import tqdm

import transformers


__magic_name__						: Optional[int]    =				float('nan')




class 			__snake_case   :




							def __init__(     self:    Any     ,							A_:    Dict   ):
										__lowerCamelCase          =      sys.stdout
										__lowerCamelCase          =      open(__lowercase     ,							"""a"""   )




							def __getattr__(     self:    Tuple     ,							A_:    Optional[int]   ):
										return getattr(self.stdout     ,							__lowercase   )




							def   __a   (     self:    int     ,							A_:    Optional[Any]   ):
										self.stdout.write(__lowercase   )
										# strip tqdm codes
										self.file.write(re.sub(r"""^.*\r"""     ,							""""""     ,							__lowercase     ,							0     ,							re.M   )   )





def       a_ (	lowercase__ :List[Any]=80,			lowercase__ :Optional[Any]=False     ):
			__lowerCamelCase          =      []

			# deal with critical env vars
			__lowerCamelCase          =      ['CUDA_VISIBLE_DEVICES']
			for key in env_keys:
						__lowerCamelCase          =      os.environ.get(UpperCamelCase__,			UpperCamelCase__     )
						if val is not None:
									cmd.append(f'{key}={val}'     )

									 # python executable (not always needed if the script is executable)
			__lowerCamelCase          =      sys.executable if full_python_path else sys.executable.split("""/"""     )[-1]
			cmd.append(UpperCamelCase__     )

			# now the normal args
			cmd += list(map(shlex.quote,			sys.argv     )     )

			# split up into up to MAX_WIDTH lines with shell multi-line escapes
			__lowerCamelCase          =      []
			__lowerCamelCase          =      ''
			while len(UpperCamelCase__     ) > 0:
						current_line += f'{cmd.pop(0     )} '
						if len(UpperCamelCase__     ) == 0 or len(UpperCamelCase__     ) + len(cmd[0]     ) + 1 > max_width - 1:
									lines.append(UpperCamelCase__     )
									__lowerCamelCase          =      ''
			return "\\\n".join(UpperCamelCase__     )





def       a_ (	lowercase__ :int,			lowercase__ :int     ):
			# unwrap multi-line input
			__lowerCamelCase          =      re.sub(r"""[\\\n]+""",			""" """,			args.base_cmd     )

			# remove --output_dir if any and set our own
			__lowerCamelCase          =      re.sub("""--output_dir\s+[^\s]+""",			"""""",			args.base_cmd     )
			args.base_cmd += f' --output_dir {output_dir}'

			# ensure we have --overwrite_output_dir
			__lowerCamelCase          =      re.sub("""--overwrite_output_dir\s+""",			"""""",			args.base_cmd     )
			args.base_cmd += " --overwrite_output_dir"

			return [sys.executable] + shlex.split(args.base_cmd     )





def       a_ (	lowercase__ :Optional[int],			lowercase__ :Optional[int],			lowercase__ :Optional[int],			lowercase__ :Optional[int],			lowercase__ :Union[str, Any],			lowercase__ :Optional[int],			lowercase__ :Optional[int]     ):
			# Enable to debug everything but the run itself, to do it fast and see the progress.
			# This is useful for debugging the output formatting quickly - we can remove it later once
			# everybody is happy with the output
			if 0:
						import random
						from time import sleep

						sleep(0     )
						return dict(
						    {k: random.uniform(0,			100     ) for k in metric_keys},			**{target_metric_key: random.choice([nan, 10.31, 100.2, 55.6666, 222.22222222]     )},			)

			__lowerCamelCase          =      subprocess.run(UpperCamelCase__,			capture_output=UpperCamelCase__,			text=UpperCamelCase__     )

			if verbose:
						print("""STDOUT""",			result.stdout     )
						print("""STDERR""",			result.stderr     )

			# save the streams
			__lowerCamelCase          =      variation.replace(""" """,			"""-"""     )
			with open(Path(UpperCamelCase__     ) / f'log.{prefix}.stdout.txt',			"""w"""     ) as f:
						f.write(result.stdout     )
			with open(Path(UpperCamelCase__     ) / f'log.{prefix}.stderr.txt',			"""w"""     ) as f:
						f.write(result.stderr     )

			if result.returncode != 0:
						if verbose:
									print("""failed"""     )
						return {target_metric_key: nan}

			with io.open(f'{output_dir}/all_results.json',			"""r""",			encoding="""utf-8"""     ) as f:
						__lowerCamelCase          =      json.load(UpperCamelCase__     )

			# filter out just the keys we want
			return {k: v for k, v in metrics.items() if k in metric_keys}





def       a_ (	lowercase__ :List[str],			lowercase__ :List[Any],			lowercase__ :str,			lowercase__ :Optional[int],			lowercase__ :Optional[int],			lowercase__ :Any,			lowercase__ :int,			lowercase__ :Union[str, Any],			lowercase__ :List[str],			lowercase__ :List[Any],			):
			__lowerCamelCase          =      []
			__lowerCamelCase          =      []
			__lowerCamelCase          =      f'{id}: {variation:<{longest_variation_len}}'
			__lowerCamelCase          =      f'{preamble}: '
			__lowerCamelCase          =      set(report_metric_keys + [target_metric_key]     )
			for i in tqdm(range(UpperCamelCase__     ),			desc=UpperCamelCase__,			leave=UpperCamelCase__     ):
						__lowerCamelCase          =      process_run_single(
						    UpperCamelCase__,			UpperCamelCase__,			UpperCamelCase__,			UpperCamelCase__,			UpperCamelCase__,			UpperCamelCase__,			UpperCamelCase__     )
						__lowerCamelCase          =      single_run_metrics[target_metric_key]
						if not math.isnan(UpperCamelCase__     ):
									metrics.append(UpperCamelCase__     )
									results.append(UpperCamelCase__     )
									outcome += "✓"
						else:
									outcome += "✘"
			__lowerCamelCase          =      f'\33[2K\r{outcome}'
			if len(UpperCamelCase__     ) > 0:
						__lowerCamelCase          =      {k: fmean([x[k] for x in metrics]     ) for k in metrics[0].keys()}
						__lowerCamelCase          =      round(mean_metrics[target_metric_key],			2     )
						__lowerCamelCase          =      f'{outcome} {mean_target}'
						if len(UpperCamelCase__     ) > 1:
									results_str += f' {tuple(round(UpperCamelCase__,			2     ) for x in results     )}'
						print(UpperCamelCase__     )
						__lowerCamelCase          =      variation
						return mean_metrics
			else:
						print(UpperCamelCase__     )
						return {variation_key: variation, target_metric_key: nan}





def       a_ (	):
			__lowerCamelCase          =      torch.cuda.get_device_properties(torch.device("""cuda"""     )     )
			return f'\nDatetime    : {datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"     )}\n\nSoftware:\ntransformers: {transformers.__version__}\ntorch       : {torch.__version__}\ncuda        : {torch.version.cuda}\npython      : {platform.python_version()}\n\nHardware:\n{torch.cuda.device_count()} GPUs      : {properties.name}, {properties.total_memory/2**30:0.2f}GB\n'





def       a_ (	lowercase__ :List[Any],			lowercase__ :Optional[int],			lowercase__ :Dict,			lowercase__ :Union[str, Any],			lowercase__ :Any     ):
			__lowerCamelCase          =      pd.DataFrame(UpperCamelCase__     )
			__lowerCamelCase          =      'variation'
			__lowerCamelCase          =      'diff_%'

			__lowerCamelCase          =      nan
			if base_variation is not None and len(df[df[variation_key] == base_variation]     ):
						# this may still return nan
						__lowerCamelCase          =      df.loc[df[variation_key] == base_variation][target_metric_key].item()
			if math.isnan(UpperCamelCase__     ):
						# as a fallback, use the minimal value as the sentinel
						__lowerCamelCase          =      df.loc[df[target_metric_key] != nan][target_metric_key].min()

			# create diff column if possible
			if not math.isnan(UpperCamelCase__     ):
						__lowerCamelCase          =      df.apply(
						    lambda lowercase__     : round(100 * (r[target_metric_key] - sentinel_value) / sentinel_value     )
						    if not math.isnan(r[target_metric_key]     )
						    else 0,			axis="""columns""",			)

			# re-order columns
			__lowerCamelCase          =      [variation_key, target_metric_key, diff_key, *report_metric_keys]
			__lowerCamelCase          =      df.reindex(UpperCamelCase__,			axis="""columns"""     )  # reorder cols

			# capitalize
			__lowerCamelCase          =      df.rename(str.capitalize,			axis="""columns"""     )

			# make the cols as narrow as possible
			__lowerCamelCase          =      df.rename(lambda lowercase__     : c.replace("""_""",			"""<br>"""     ),			axis="""columns"""     )
			__lowerCamelCase          =      df.rename(lambda lowercase__     : c.replace("""_""",			"""\n"""     ),			axis="""columns"""     )

			__lowerCamelCase          =      ['', 'Copy between the cut-here-lines and paste as is to github or a forum']
			report += ["----------8<-----------------8<--------"]
			report += ["*** Results:", df_github.to_markdown(index=UpperCamelCase__,			floatfmt=""".2f"""     )]
			report += ["```"]
			report += ["*** Setup:", get_versions()]
			report += ["*** The benchmark command line was:", get_original_command()]
			report += ["```"]
			report += ["----------8<-----------------8<--------"]
			report += ["*** Results (console):", df_console.to_markdown(index=UpperCamelCase__,			floatfmt=""".2f"""     )]

			print("""\n\n""".join(UpperCamelCase__     )     )





def       a_ (	):
			__lowerCamelCase          =      argparse.ArgumentParser()
			parser.add_argument(
			    """--base-cmd""",			default=UpperCamelCase__,			type=UpperCamelCase__,			required=UpperCamelCase__,			help="""Base cmd""",			)
			parser.add_argument(
			    """--variations""",			default=UpperCamelCase__,			type=UpperCamelCase__,			nargs="""+""",			required=UpperCamelCase__,			help="""Multi-dimensional variations, example: \'|--fp16|--bf16\' \'|--tf32\'""",			)
			parser.add_argument(
			    """--base-variation""",			default=UpperCamelCase__,			type=UpperCamelCase__,			help="""Baseline variation to compare to. if None the minimal target value will be used to compare against""",			)
			parser.add_argument(
			    """--target-metric-key""",			default=UpperCamelCase__,			type=UpperCamelCase__,			required=UpperCamelCase__,			help="""Target metric key in output_dir/all_results.json, e.g., train_samples_per_second""",			)
			parser.add_argument(
			    """--report-metric-keys""",			default="""""",			type=UpperCamelCase__,			help="""Report metric keys - other metric keys from output_dir/all_results.json to report, e.g., train_loss. Use a single argument e.g., \'train_loss train_samples""",			)
			parser.add_argument(
			    """--repeat-times""",			default=1,			type=UpperCamelCase__,			help="""How many times to re-run each variation - an average will be reported""",			)
			parser.add_argument(
			    """--output_dir""",			default="""output_benchmark""",			type=UpperCamelCase__,			help="""The output directory where all the benchmark reports will go to and additionally this directory will be used to override --output_dir in the script that is being benchmarked""",			)
			parser.add_argument(
			    """--verbose""",			default=UpperCamelCase__,			action="""store_true""",			help="""Whether to show the outputs of each run or just the benchmark progress""",			)
			__lowerCamelCase          =      parser.parse_args()

			__lowerCamelCase          =      args.output_dir
			Path(UpperCamelCase__     ).mkdir(exist_ok=UpperCamelCase__     )
			__lowerCamelCase          =      get_base_command(UpperCamelCase__,			UpperCamelCase__     )

			# split each dimension into its --foo variations
			__lowerCamelCase          =      [list(map(str.strip,			re.split(r"""\|""",			UpperCamelCase__     )     )     ) for x in args.variations]
			# build a cartesian product of dimensions and convert those back into cmd-line arg strings,
			# while stripping white space for inputs that were empty
			__lowerCamelCase          =      list(map(str.strip,			map(""" """.join,			itertools.product(*UpperCamelCase__     )     )     )     )
			__lowerCamelCase          =      max(len(UpperCamelCase__     ) for x in variations     )

			# split wanted keys
			__lowerCamelCase          =      args.report_metric_keys.split()

			# capture prints into a log file for convenience
			__lowerCamelCase          =      f'benchmark-report-{datetime.datetime.now().strftime("%Y-%m-%d-%H-%M-%S"     )}.txt'
			print(f'\nNote: each run\'s output is also logged under {output_dir}/log.*.std*.txt'     )
			print(f'and this script\'s output is also piped into {report_fn}'     )

			__lowerCamelCase          =      Tee(UpperCamelCase__     )

			print(f'\n*** Running {len(UpperCamelCase__     )} benchmarks:'     )
			print(f'Base command: {" ".join(UpperCamelCase__     )}'     )

			__lowerCamelCase          =      'variation'
			__lowerCamelCase          =      []
			for id, variation in enumerate(tqdm(UpperCamelCase__,			desc="""Total completion: """,			leave=UpperCamelCase__     )     ):
						__lowerCamelCase          =      base_cmd + variation.split()
						results.append(
						    process_run(
						        id + 1,			UpperCamelCase__,			UpperCamelCase__,			UpperCamelCase__,			UpperCamelCase__,			args.target_metric_key,			UpperCamelCase__,			args.repeat_times,			UpperCamelCase__,			args.verbose,			)     )

			process_results(UpperCamelCase__,			args.target_metric_key,			UpperCamelCase__,			args.base_variation,			UpperCamelCase__     )


if __name__ == "__main__":
					main()








'''simple docstring'''
from __future__ import annotations

import math
import random
from typing import Any

class     _lowerCamelCase       :




 '''simple docstring'''


 def __init__(   self    ):

  """simple docstring"""







  __A	:		list[Any]	  =      []
  __A	:		int	  =      0
  __A	:		int	  =      0


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.head == self.tail


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  self.data.append(__lowercase    )
  __A	:		Any	  =      self.tail + 1


 def 			snake_case__ (   self    ):

  """simple docstring"""







  __A	:		Any	  =      self.data[self.head]
  __A	:		Union[str, Any]	  =      self.head + 1
  return ret


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.tail - self.head







 def 			snake_case__ (   self    ):

  """simple docstring"""







  print(self.data    )
  print('**************'    )
  print(self.data[self.head : self.tail]    )


class     _lowerCamelCase       :




 '''simple docstring'''


 def __init__(   self   ,   __lowercase    ):

  """simple docstring"""







  __A	:		Any	  =      data
  __A	:		MyNode | None	  =      None
  __A	:		MyNode | None	  =      None
  __A	:		int	  =      1


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.data


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.left


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.right


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return self.height


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  __A	:		Dict	  =      data


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  __A	:		int	  =      node


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  __A	:		Tuple	  =      node







 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  __A	:		Optional[Any]	  =      height


def       _lowercase							(					UpperCamelCase__							:       MyNode | None      ):
 if node is None:
  return 0
 return node.get_height()


def       _lowercase							(					UpperCamelCase__							:       int,					UpperCamelCase__							:       int      ):
 if a > b:
  return a
 return b


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 print('left rotation node:',					node.get_data()      )
 __A	:		Optional[Any]	  =      node.get_left()
 assert ret is not None
 node.set_left(ret.get_right()      )
 ret.set_right(UpperCamelCase__      )
 __A	:		Tuple	  =      my_max(get_height(node.get_right()      ),					get_height(node.get_left()      )      ) + 1
 node.set_height(UpperCamelCase__      )
 __A	:		Optional[Any]	  =      my_max(get_height(ret.get_right()      ),					get_height(ret.get_left()      )      ) + 1
 ret.set_height(UpperCamelCase__      )
 return ret


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 print('right rotation node:',					node.get_data()      )
 __A	:		Optional[Any]	  =      node.get_right()
 assert ret is not None
 node.set_right(ret.get_left()      )
 ret.set_left(UpperCamelCase__      )
 __A	:		List[str]	  =      my_max(get_height(node.get_right()      ),					get_height(node.get_left()      )      ) + 1
 node.set_height(UpperCamelCase__      )
 __A	:		Any	  =      my_max(get_height(ret.get_right()      ),					get_height(ret.get_left()      )      ) + 1
 ret.set_height(UpperCamelCase__      )
 return ret


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 __A	:		Dict	  =      node.get_left()
 assert left_child is not None
 node.set_left(left_rotation(UpperCamelCase__      )      )
 return right_rotation(UpperCamelCase__      )


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 __A	:		Tuple	  =      node.get_right()
 assert right_child is not None
 node.set_right(right_rotation(UpperCamelCase__      )      )
 return left_rotation(UpperCamelCase__      )


def       _lowercase							(					UpperCamelCase__							:       MyNode | None,					UpperCamelCase__							:       Any      ):
 if node is None:
  return MyNode(UpperCamelCase__      )
 if data < node.get_data():
  node.set_left(insert_node(node.get_left(),					UpperCamelCase__      )      )
  if (
      get_height(node.get_left()      ) - get_height(node.get_right()      ) == 2
  ):  # an unbalance detected
   __A	:		Union[str, Any]	  =      node.get_left()
   assert left_child is not None
   if (
       data < left_child.get_data()
   ):  # new node is the left child of the left child
    __A	:		Optional[Any]	  =      right_rotation(UpperCamelCase__      )
   else:
    __A	:		Any	  =      lr_rotation(UpperCamelCase__      )
 else:
  node.set_right(insert_node(node.get_right(),					UpperCamelCase__      )      )
  if get_height(node.get_right()      ) - get_height(node.get_left()      ) == 2:
   __A	:		Union[str, Any]	  =      node.get_right()
   assert right_child is not None
   if data < right_child.get_data():
    __A	:		int	  =      rl_rotation(UpperCamelCase__      )
   else:
    __A	:		Optional[Any]	  =      left_rotation(UpperCamelCase__      )
 __A	:		Tuple	  =      my_max(get_height(node.get_right()      ),					get_height(node.get_left()      )      ) + 1
 node.set_height(UpperCamelCase__      )
 return node


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 while True:
  __A	:		str	  =      root.get_right()
  if right_child is None:
   break
  __A	:		Union[str, Any]	  =      right_child
 return root.get_data()


def       _lowercase							(					UpperCamelCase__							:       MyNode      ):
 while True:
  __A	:		Union[str, Any]	  =      root.get_left()
  if left_child is None:
   break
  __A	:		int	  =      left_child
 return root.get_data()


def       _lowercase							(					UpperCamelCase__							:       MyNode,					UpperCamelCase__							:       Any      ):
 __A	:		List[Any]	  =      root.get_left()
 __A	:		int	  =      root.get_right()
 if root.get_data() == data:
  if left_child is not None and right_child is not None:
   __A	:		List[Any]	  =      get_left_most(UpperCamelCase__      )
   root.set_data(UpperCamelCase__      )
   root.set_right(del_node(UpperCamelCase__,					UpperCamelCase__      )      )
  elif left_child is not None:
   __A	:		Tuple	  =      left_child
  elif right_child is not None:
   __A	:		str	  =      right_child
  else:
   return None
 elif root.get_data() > data:
  if left_child is None:
   print('No such data'      )
   return root
  else:
   root.set_left(del_node(UpperCamelCase__,					UpperCamelCase__      )      )
 else:  # root.get_data() < data
  if right_child is None:
   return root
  else:
   root.set_right(del_node(UpperCamelCase__,					UpperCamelCase__      )      )

 if get_height(UpperCamelCase__      ) - get_height(UpperCamelCase__      ) == 2:
  assert right_child is not None
  if get_height(right_child.get_right()      ) > get_height(right_child.get_left()      ):
   __A	:		List[str]	  =      left_rotation(UpperCamelCase__      )
  else:
   __A	:		Union[str, Any]	  =      rl_rotation(UpperCamelCase__      )
 elif get_height(UpperCamelCase__      ) - get_height(UpperCamelCase__      ) == -2:
  assert left_child is not None
  if get_height(left_child.get_left()      ) > get_height(left_child.get_right()      ):
   __A	:		str	  =      right_rotation(UpperCamelCase__      )
  else:
   __A	:		List[Any]	  =      lr_rotation(UpperCamelCase__      )
 __A	:		Tuple	  =      my_max(get_height(root.get_right()      ),					get_height(root.get_left()      )      ) + 1
 root.set_height(UpperCamelCase__      )
 return root

class     _lowerCamelCase       :




 '''simple docstring'''


 def __init__(   self    ):

  """simple docstring"""







  __A	:		MyNode | None	  =      None


 def 			snake_case__ (   self    ):

  """simple docstring"""







  return get_height(self.root    )


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  print('insert:' + str(__lowercase    )    )
  __A	:		Optional[int]	  =      insert_node(self.root   ,   __lowercase    )


 def 			snake_case__ (   self   ,   __lowercase    ):

  """simple docstring"""







  print('delete:' + str(__lowercase    )    )
  if self.root is None:
   print('Tree is empty!'    )
   return
  __A	:		List[Any]	  =      del_node(self.root   ,   __lowercase    )







 def __str__(   self   ,   ):  # a level traversale, gives a more intuitive look on the tree

  """simple docstring"""







  __A	:		Union[str, Any]	  =      ''
  __A	:		Optional[Any]	  =      MyQueue()
  q.push(self.root    )
  __A	:		Tuple	  =      self.get_height()
  if layer == 0:
   return output
  __A	:		List[Any]	  =      0
  while not q.is_empty():
   __A	:		Union[str, Any]	  =      q.pop()
   __A	:		Any	  =      ' ' * int(math.pow(2   ,   layer - 1    )    )
   output += space
   if node is None:
    output += "*"
    q.push(__lowercase    )
    q.push(__lowercase    )
   else:
    output += str(node.get_data()    )
    q.push(node.get_left()    )
    q.push(node.get_right()    )
   output += space
   __A	:		Optional[int]	  =      cnt + 1
   for i in range(100    ):
    if cnt == math.pow(2   ,   __lowercase    ) - 1:
     __A	:		Optional[int]	  =      layer - 1
     if layer == 0:
      output += "\n*************************************"
      return output
     output += "\n"
     break
  output += "\n*************************************"
  return output


def       _lowercase							(					):
 import doctest

 doctest.testmod()


if __name__ == "__main__":
 _test()
 UpperCAmelCase_			:  Optional[Any]										=   AVLtree()
 UpperCAmelCase_			:  Dict										=   list(range(1_0))
 random.shuffle(lst)
 for i in lst:
  t.insert(i)
  print(str(t))
 random.shuffle(lst)
 for i in lst:
  t.del_node(i)
  print(str(t))






