




import csv
from collections import defaultdict
from dataclasses import dataclass, field
from typing import List, Optional

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import ScalarFormatter

from transformers import HfArgumentParser





def      UpperCAmelCase  (						UpperCamelCase__=None						,			UpperCamelCase__=None   )     ->     Union[str, Any]:







				'''simple docstring'''


				return field(default_factory=lambda: default						,			metadata=UpperCamelCase__   )

@dataclass
class 		lowercase_       :
					__UpperCamelCase     	= field(
					    metadata={"help": "The csv file to plot."}						,							)
					__UpperCamelCase     	= field(
					    default=lowerCAmelCase__						,							metadata={"help": "Whether to plot along batch size or sequence length. Defaults to sequence length."}						,							)
					__UpperCamelCase     	= field(
					    default=lowerCAmelCase__						,							metadata={"help": "Whether the csv file has time results or memory results. Defaults to memory results."}						,							)
					__UpperCamelCase     	= field(
					    default=lowerCAmelCase__						,							metadata={"help": "Disable logarithmic scale when plotting"}						,							)
					__UpperCamelCase     	= field(
					    default=lowerCAmelCase__						,							metadata={
					        "help": "Whether the csv file has training results or inference results. Defaults to inference results."
					    }						,							)
					__UpperCamelCase     	= field(
					    default=lowerCAmelCase__						,							metadata={"help": "Filename under which the plot will be saved. If unused no plot is saved."}						,							)
					__UpperCamelCase     	= list_field(
					    default=lowerCAmelCase__						,							metadata={"help": "List of model names that are used instead of the ones in the csv file."}				)





def      UpperCAmelCase  (						UpperCamelCase__   )     ->     Any:







				'''simple docstring'''


				try:
								int(UpperCamelCase__   )
								return True
				except ValueError:
								return False





def      UpperCAmelCase  (						UpperCamelCase__   )     ->     Union[str, Any]:







				'''simple docstring'''


				try:
								float(UpperCamelCase__   )
								return True
				except ValueError:
								return False

class 		lowercase_       :




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


									'''simple docstring'''


									__lowerCAmelCase					=  args
									__lowerCAmelCase					=  defaultdict(lambda: {"bsz": [], "seq_len": [], "result": {}})

									with open(self.args.csv_file,     newline="""""") as csv_file:
													__lowerCAmelCase					=  csv.DictReader(_lowercase)
													for row in reader:
																	__lowerCAmelCase					=  row["""model"""]
																	self.result_dict[model_name]["bsz"].append(int(row["""batch_size"""]))
																	self.result_dict[model_name]["seq_len"].append(int(row["""sequence_length"""]))
																	if can_convert_to_int(row["""result"""]):
																					# value is not None
																					__lowerCAmelCase					=  int(row["""result"""])
																	elif can_convert_to_float(row["""result"""]):
																					# value is not None
																					__lowerCAmelCase					=  float(row["""result"""])







					def     _lowercase						(   self:		Optional[Any]):


									'''simple docstring'''


									__lowerCAmelCase	,				__lowerCAmelCase					=  plt.subplots()
									__lowerCAmelCase					=  """Time usage""" if self.args.is_time else """Memory usage"""
									__lowerCAmelCase					=  title_str + """ for training""" if self.args.is_train else title_str + """ for inference"""

									if not self.args.no_log_scale:
													# set logarithm scales
													ax.set_xscale("""log""")
													ax.set_yscale("""log""")

									for axis in [ax.xaxis, ax.yaxis]:
													axis.set_major_formatter(ScalarFormatter())

									for model_name_idx, model_name in enumerate(self.result_dict.keys()):
													__lowerCAmelCase					=  sorted(set(self.result_dict[model_name]["""bsz"""]))
													__lowerCAmelCase					=  sorted(set(self.result_dict[model_name]["""seq_len"""]))
													__lowerCAmelCase					=  self.result_dict[model_name]["""result"""]

													((__lowerCAmelCase)	,				(__lowerCAmelCase))					=  (
													    (batch_sizes, sequence_lengths) if self.args.plot_along_batch else (sequence_lengths, batch_sizes)
													)

													__lowerCAmelCase					=  (
													    model_name if self.args.short_model_names is None else self.args.short_model_names[model_name_idx]
													)

													for inner_loop_value in inner_loop_array:
																	if self.args.plot_along_batch:
																					__lowerCAmelCase					=  np.asarray(
																					    [results[(x, inner_loop_value)] for x in x_axis_array if (x, inner_loop_value) in results],     dtype=_lowercase,     )
																	else:
																					__lowerCAmelCase					=  np.asarray(
																					    [results[(inner_loop_value, x)] for x in x_axis_array if (inner_loop_value, x) in results],     dtype=np.floataa,     )

																	((__lowerCAmelCase)	,				(__lowerCAmelCase))					=  (
																	    ("""batch_size""", """len""") if self.args.plot_along_batch else ("""in #tokens""", """bsz""")
																	)

																	__lowerCAmelCase					=  np.asarray(_lowercase,     _lowercase)[: len(_lowercase)]
																	plt.scatter(
																	    _lowercase,     _lowercase,     label=f'''{label_model_name} - {inner_loop_label}: {inner_loop_value}''')
																	plt.plot(_lowercase,     _lowercase,     """--""")

													title_str += f''' {label_model_name} vs.'''

									__lowerCAmelCase					=  title_str[:-4]
									__lowerCAmelCase					=  """Time in s""" if self.args.is_time else """Memory in MB"""

									# plot
									plt.title(_lowercase)
									plt.xlabel(_lowercase)
									plt.ylabel(_lowercase)
									plt.legend()

									if self.args.figure_png_file is not None:
													plt.savefig(self.args.figure_png_file)
									else:
													plt.show()





def      UpperCAmelCase  (						)     ->     Optional[int]:







				'''simple docstring'''


				__lowerCAmelCase					=  HfArgumentParser(UpperCamelCase__   )
				__lowerCAmelCase					=  parser.parse_args_into_dataclasses()[0]
				__lowerCAmelCase					=  Plot(args=UpperCamelCase__   )
				plot.plot()


if __name__ == "__main__":
	main()










'''simple docstring'''




from __future__ import annotations

from collections.abc import Iterable

class      UpperCamelCase_					:





	def __init__(    self						,						A						,						A       )     ->     int:
								UpperCAmelCase	,	UpperCAmelCase	:						Any					=						float(A       ), float(A       )





	def __eq__(    self						,						A       )     ->     str:
								return self.x == other.x and self.y == other.y





	def __ne__(    self						,						A       )     ->     Dict:
								return not self == other





	def __gt__(    self						,						A       )     ->     Dict:
								if self.x > other.x:
															return True
								elif self.x == other.x:
															return self.y > other.y
								return False





	def __lt__(    self						,						A       )     ->     str:
								return not self > other





	def __ge__(    self						,						A       )     ->     Union[str, Any]:
								if self.x > other.x:
															return True
								elif self.x == other.x:
															return self.y >= other.y
								return False





	def __le__(    self						,						A       )     ->     List[str]:
								if self.x < other.x:
															return True
								elif self.x == other.x:
															return self.y <= other.y
								return False





	def __repr__(    self       )     ->     Tuple:
								return f'''({self.x}, {self.y})'''






	def __hash__(    self       )     ->     List[str]:
								return hash(self.x       )




def  __lowerCamelCase    (   _lowercase      ,							) ->     list[Point]:
							UpperCAmelCase	:						list[Point]					=						[]
							if list_of_tuples:
														for p in list_of_tuples:
																					if isinstance(_lowercase      ,							_lowercase						):
																												points.append(_lowercase						)
																					else:
																												try:
																																			points.append(Point(p[0]      ,							p[1]						)						)
																												except (IndexError, TypeError):
																																			print(
																																			    F'''Ignoring deformed point {p}. All points'''
																																			    """ must have at least 2 coordinates."""						)
							return points



def  __lowerCamelCase    (   _lowercase						) ->     list[Point]:

							if not hasattr(_lowercase      ,							"""__iter__"""						):
														UpperCAmelCase	:						List[str]					=						F'''Expecting an iterable object but got an non-iterable type {points}'''
														raise ValueError(_lowercase						)

							if not points:
														UpperCAmelCase	:						Optional[int]					=						F'''Expecting a list of points but got {points}'''
														raise ValueError(_lowercase						)

							return _construct_points(_lowercase						)



def  __lowerCamelCase    (   _lowercase      ,							_lowercase      ,							_lowercase						) ->     float:
							UpperCAmelCase	:						Dict					=						(a.x * b.y + b.x * c.y + c.x * a.y) - (a.y * b.x + b.y * c.x + c.y * a.x)
							return det



def  __lowerCamelCase    (   _lowercase						) ->     list[Point]:
							UpperCAmelCase	:						Optional[int]					=						sorted(_validate_input(_lowercase						)						)
							UpperCAmelCase	:						int					=						len(_lowercase						)
							UpperCAmelCase	:						Any					=						set()

							for i in range(n - 1						):
														for j in range(i + 1      ,							_lowercase						):
																					UpperCAmelCase	:						Optional[Any]					=						False
																					UpperCAmelCase	:						Optional[int]					=						True
																					for k in range(_lowercase						):
																												if k != i and k != j:
																																			UpperCAmelCase	:						Union[str, Any]					=						_det(points[i]      ,							points[j]      ,							points[k]						)

																																			if det_k > 0:
																																										UpperCAmelCase	:						Optional[int]					=						True
																																			elif det_k < 0:
																																										UpperCAmelCase	:						int					=						True
																																			else:
																																										# point[i], point[j], point[k] all lie on a straight line
																																										# if point[k] is to the left of point[i] or it's to the
																																										# right of point[j], then point[i], point[j] cannot be
																																										# part of the convex hull of A
																																										if points[k] < points[i] or points[k] > points[j]:
																																																	UpperCAmelCase	:						List[Any]					=						False
																																																	break

																												if points_left_of_ij and points_right_of_ij:
																																			UpperCAmelCase	:						Union[str, Any]					=						False
																																			break

																					if ij_part_of_convex_hull:
																												convex_set.update([points[i], points[j]]						)

							return sorted(_lowercase						)



def  __lowerCamelCase    (   _lowercase						) ->     list[Point]:
							UpperCAmelCase	:						List[str]					=						sorted(_validate_input(_lowercase						)						)
							UpperCAmelCase	:						Optional[Any]					=						len(_lowercase						)

							# divide all the points into an upper hull and a lower hull
							# the left most point and the right most point are definitely
							# members of the convex hull by definition.
							# use these two anchors to divide all the points into two hulls,
							# an upper hull and a lower hull.

							# all points to the left (above) the line joining the extreme points belong to the
							# upper hull
							# all points to the right (below) the line joining the extreme points below to the
							# lower hull
							# ignore all points on the line joining the extreme points since they cannot be
							# part of the convex hull

							UpperCAmelCase	:						List[str]					=						points[0]
							UpperCAmelCase	:						Union[str, Any]					=						points[n - 1]

							UpperCAmelCase	:						int					=						{left_most_point, right_most_point}
							UpperCAmelCase	:						Dict					=						[]
							UpperCAmelCase	:						Any					=						[]

							for i in range(1      ,							n - 1						):
														UpperCAmelCase	:						Any					=						_det(_lowercase      ,							_lowercase      ,							points[i]						)

														if det > 0:
																					upper_hull.append(points[i]						)
														elif det < 0:
																					lower_hull.append(points[i]						)

							_construct_hull(_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						)
							_construct_hull(_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						)

							return sorted(_lowercase						)



def  __lowerCamelCase    (   _lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						) ->     None:
							if points:
														UpperCAmelCase	:						Union[str, Any]					=						None
														UpperCAmelCase	:						int					=						float("""-inf"""						)
														UpperCAmelCase	:						Tuple					=						[]

														for p in points:
																					UpperCAmelCase	:						List[Any]					=						_det(_lowercase      ,							_lowercase      ,							_lowercase						)

																					if det > 0:
																												candidate_points.append(_lowercase						)

																												if det > extreme_point_distance:
																																			UpperCAmelCase	:						List[str]					=						det
																																			UpperCAmelCase	:						Optional[Any]					=						p

														if extreme_point:
																					_construct_hull(_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						)
																					convex_set.add(_lowercase						)
																					_construct_hull(_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase						)



def  __lowerCamelCase    (   _lowercase						) ->     list[Point]:
							UpperCAmelCase	:						Any					=						sorted(_validate_input(_lowercase						)						)
							UpperCAmelCase	:						Union[str, Any]					=						len(_lowercase						)

							UpperCAmelCase	:						Dict					=						points[:2]
							for i in range(2      ,							_lowercase						):
														UpperCAmelCase	:						Dict					=						_det(convex_hull[1]      ,							convex_hull[0]      ,							points[i]						)
														if det > 0:
																					convex_hull.insert(0      ,							points[i]						)
																					break
														elif det < 0:
																					convex_hull.append(points[i]						)
																					break
														else:
																					UpperCAmelCase	:						Dict					=						points[i]
							i += 1

							for j in range(_lowercase      ,							_lowercase						):
														if (
														    _det(convex_hull[0]      ,							convex_hull[-1]      ,							points[j]						) > 0
														    and _det(convex_hull[-1]      ,							convex_hull[0]      ,							points[1]						) < 0
														):
																					# The point lies within the convex hull
																					continue

														convex_hull.insert(0      ,							points[j]						)
														convex_hull.append(points[j]						)
														while _det(convex_hull[0]      ,							convex_hull[1]      ,							convex_hull[2]						) >= 0:
																					del convex_hull[1]
														while _det(convex_hull[-1]      ,							convex_hull[-2]      ,							convex_hull[-3]						) <= 0:
																					del convex_hull[-2]

    # `convex_hull` is contains the convex hull in circular order
							return sorted(convex_hull[1:] if len(_lowercase						) > 3 else convex_hull						)



def  __lowerCamelCase    (   ) ->     Tuple:
							UpperCAmelCase	:						Tuple					=						[
							    (0, 3),
							    (2, 2),
							    (1, 1),
							    (2, 1),
							    (3, 0),
							    (0, 0),
							    (3, 3),
							    (2, -1),
							    (2, -4),
							    (1, -3),
							]
							# the convex set of points is
							# [(0, 0), (0, 3), (1, -3), (2, -4), (3, 0), (3, 3)]
							UpperCAmelCase	:						Tuple					=						convex_hull_bf(_lowercase						)

							UpperCAmelCase	:						List[Any]					=						convex_hull_recursive(_lowercase						)
							assert results_bf == results_recursive

							UpperCAmelCase	:						Union[str, Any]					=						convex_hull_melkman(_lowercase						)
							assert results_bf == results_melkman

							print(_lowercase						)


if __name__ == "__main__":
							main()

