




"""simple docstring"""






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      _snake_case			(				lowercase__=None							,    lowercase__=None		):
				return field(default_factory=lambda: default							,    metadata=lowercase__		)






@dataclass
class lowerCAmelCase__	:






			'''simple docstring'''



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







def      _snake_case			(				lowercase__		):
				try:
								int(lowercase__		)
								return True
				except ValueError:
								return False







def      _snake_case			(				lowercase__		):
				try:
								float(lowercase__		)
								return True
				except ValueError:
								return False






class lowerCAmelCase__	:






			'''simple docstring'''



			def __init__(  self  ,      lowercase  ):
							_lowerCamelCase     :			Any    =    args
							_lowerCamelCase     :			Tuple    =    defaultdict(lambda: {"bsz": [], "seq_len": [], "result": {}}  )

							with open(self.args.csv_file  ,      newline=''  ) as csv_file:
											_lowerCamelCase     :			Optional[Any]    =    csv.DictReader(lowercase  )
											for row in reader:
															_lowerCamelCase     :			Optional[Any]    =    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     :			List[str]    =    int(row['result']  )
															elif can_convert_to_float(row['result']  ):
																			# value is not None
																			_lowerCamelCase     :			List[Any]    =    float(row['result']  )






			def 					A_    (  self  ):
							_lowerCamelCase, _lowerCamelCase     :			Tuple    =    plt.subplots()
							_lowerCamelCase     :			Tuple    =    'Time usage' if self.args.is_time else 'Memory usage'
							_lowerCamelCase     :			Optional[int]    =    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     :			str    =    sorted(set(self.result_dict[model_name]['bsz']  )  )
											_lowerCamelCase     :			Union[str, Any]    =    sorted(set(self.result_dict[model_name]['seq_len']  )  )
											_lowerCamelCase     :			Tuple    =    self.result_dict[model_name]['result']

											((_lowerCamelCase), (_lowerCamelCase))     :			Optional[int]    =    (
											    (batch_sizes, sequence_lengths) if self.args.plot_along_batch else (sequence_lengths, batch_sizes)
											)

											_lowerCamelCase     :			Union[str, Any]    =    (
											    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     :			Optional[Any]    =    np.asarray(
																			    [results[(x, inner_loop_value)] for x in x_axis_array if (x, inner_loop_value) in results]  ,      dtype=lowercase  ,      )
															else:
																			_lowerCamelCase     :			Optional[int]    =    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))     :			int    =    (
															    ('batch_size', 'len') if self.args.plot_along_batch else ('in #tokens', 'bsz')
															)

															_lowerCamelCase     :			List[Any]    =    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     :			Dict    =    title_str[:-4]
							_lowerCamelCase     :			List[Any]    =    '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      _snake_case			(				):
				_lowerCamelCase     :			Any    =    HfArgumentParser(lowercase__		)
				_lowerCamelCase     :			List[Any]    =    parser.parse_args_into_dataclasses()[0]
				_lowerCamelCase     :			Dict    =    Plot(args=lowercase__		)
				plot.plot()


if __name__ == "__main__":
			main()






import os
from typing import Optional

import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE



class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     int       			=      ''''''
			lowerCamelCase_     :     str       			=      (
			    None  # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz
			)
			lowerCamelCase_     :     str       			=      None  # compression type in fsspec. ex: "gzip"
			lowerCamelCase_     :     str       			=      None  # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz






			def __init__(self					,							__magic_name__ = ""					,							__magic_name__ = None					,							__magic_name__ = None					,							**__magic_name__    )     ->   Any:


							'''simple docstring'''



							super().__init__(self					,							**__magic_name__    )
							# always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode
							snake_case_						:    Union[str, Any]				=  fsspec.open(
							    __magic_name__					,							mode='''rb'''					,							protocol=__magic_name__					,							compression=self.compression					,							client_kwargs={
							        '''requote_redirect_url''': False,  # see https://github.com/huggingface/datasets/pull/5459
							        '''trust_env''': True,  # Enable reading proxy env variables.
							        **(target_options or {}).pop('''client_kwargs'''					,							{}    ),  # To avoid issues if it was already passed.
							    }					,							**(target_options or {})					,							)
							snake_case_						:    Tuple				=  os.path.basename(self.file.path.split('''::'''    )[0]    )
							snake_case_						:    Optional[Any]				=  (
							    self.compressed_name[: self.compressed_name.rindex('''.'''    )]
							    if '''.''' in self.compressed_name
							    else self.compressed_name
							)
							snake_case_						:    Dict				=  None






			@classmethod
			def 			lowerCamelCase  (cls					,							__magic_name__    )     ->   Optional[int]:


							'''simple docstring'''



							return super()._strip_protocol(__magic_name__    ).lstrip('''/'''    )






			def 			lowerCamelCase  (self    )     ->   Union[str, Any]:


							'''simple docstring'''



							if self.dir_cache is None:
											snake_case_						:    Optional[int]				=  {**self.file.fs.info(self.file.path    ), '''name''': self.uncompressed_name}
											snake_case_						:    List[str]				=  {f['''name''']: f}






			def 			lowerCamelCase  (self					,							__magic_name__    )     ->   Optional[Any]:


							'''simple docstring'''



							return self.file.open().read()






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__ = "rb"					,							__magic_name__=None					,							__magic_name__=True					,							__magic_name__=None					,							**__magic_name__					,							)     ->   int:


							'''simple docstring'''



							snake_case_						:    Union[str, Any]				=  self._strip_protocol(__magic_name__    )
							if mode != "rb":
											raise ValueError(F'''Tried to read with mode {mode} on file {self.file.path} opened with mode \'rb\''''    )
							return self.file.open()




class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Union[str, Any]       			=      '''bz2'''
			lowerCamelCase_     :     Any       			=      '''bz2'''
			lowerCamelCase_     :     int       			=      '''.bz2'''




class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Union[str, Any]       			=      '''gzip'''
			lowerCamelCase_     :     Dict       			=      '''gzip'''
			lowerCamelCase_     :     int       			=      '''.gz'''




class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Any       			=      '''lz4'''
			lowerCamelCase_     :     Any       			=      '''lz4'''
			lowerCamelCase_     :     Optional[Any]       			=      '''.lz4'''




class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Tuple       			=      '''xz'''
			lowerCamelCase_     :     Any       			=      '''xz'''
			lowerCamelCase_     :     int       			=      '''.xz'''




class 					__lowerCAmelCase       (			_a     ):
			lowerCamelCase_     :     Union[str, Any]       			=      '''zstd'''
			lowerCamelCase_     :     Tuple       			=      '''zstd'''
			lowerCamelCase_     :     Any       			=      '''.zst'''






			def __init__(self					,							__magic_name__					,							__magic_name__ = "rb"					,							__magic_name__ = None					,							__magic_name__ = None					,							__magic_name__ = DEFAULT_BLOCK_SIZE					,							**__magic_name__					,							)     ->   Tuple:


							'''simple docstring'''



							super().__init__(
							    fo=__magic_name__					,							mode=__magic_name__					,							target_protocol=__magic_name__					,							target_options=__magic_name__					,							block_size=__magic_name__					,							**__magic_name__					,							)
							# We need to wrap the zstd decompressor to avoid this error in fsspec==2021.7.0 and zstandard==0.15.2:
							#
							# File "/Users/user/.virtualenvs/hf-datasets/lib/python3.7/site-packages/fsspec/core.py", line 145, in open
							#     out.close = close
							# AttributeError: 'zstd.ZstdDecompressionReader' object attribute 'close' is read-only
							#
							# see https://github.com/intake/filesystem_spec/issues/725
							snake_case_						:    Dict				=  self.file.__enter__



							class 					__lowerCAmelCase       :






										def __init__(self					,							__magic_name__    )     ->   List[Any]:


														'''simple docstring'''



														snake_case_						:    str				=  file_






										def __enter__(self    )     ->   List[Any]:


														'''simple docstring'''



														self._file.__enter__()
														return self






										def __exit__(self					,							*__magic_name__					,							**__magic_name__    )     ->   int:


														'''simple docstring'''



														self._file.__exit__(*__magic_name__					,							**__magic_name__    )






										def __iter__(self    )     ->   Optional[int]:


														'''simple docstring'''



														return iter(self._file    )






										def 			lowerCamelCase  (self    )     ->   Union[str, Any]:


														'''simple docstring'''



														return next(self._file    )






										def __getattr__(self					,							__magic_name__    )     ->   str:


														'''simple docstring'''



														return getattr(self._file					,							__magic_name__    )

							def fixed_enter(*__magic_name__					,							**__magic_name__    ):
											return WrappedFile(_enter(*__magic_name__					,							**__magic_name__    )    )

							snake_case_						:    Tuple				=  fixed_enter
