

'''simple docstring'''

#
# Sort large text files in a minimum amount of memory
#
import argparse
import os







class   UpperCamelCase__   :


		"""simple docstring"""

		SCREAMING_SNAKE_CASE__  :     str       =							"block_{0}.dat"







		def __init__(			self   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							str        =       filename
							UpperCAmelCase		:							str        =       []







		def 				A_	(			self   ,      snake_case   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							Optional[Any]        =       self.BLOCK_FILENAME_FORMAT.format(snake_case      )
							with open(snake_case   ,      "w"      ) as file:
												file.write(snake_case      )
							self.block_filenames.append(snake_case      )







		def 				A_	(			self      ):


							'''simple docstring'''

							return self.block_filenames







		def 				A_	(			self   ,      snake_case   ,      snake_case=None      ):


							'''simple docstring'''

							UpperCAmelCase		:							Dict        =       0
							with open(self.filename      ) as file:
												while True:
																	UpperCAmelCase		:							str        =       file.readlines(snake_case      )

																	if lines == []:
																						break

																	if sort_key is None:
																						lines.sort()
																	else:
																						lines.sort(key=snake_case      )

																	self.write_block("".join(snake_case      )   ,      snake_case      )
																	i += 1







		def 				A_	(			self      ):


							'''simple docstring'''

							map(os.remove   ,      self.block_filenames      )







class   UpperCamelCase__   :


		"""simple docstring"""

		def 				A_	(			self   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							Dict        =       -1
							UpperCAmelCase		:							str        =       None

							for i in range(len(snake_case      )      ):
												if min_str is None or choices[i] < min_str:
																	UpperCAmelCase		:							int        =       i

							return min_index







class   UpperCamelCase__   :


		"""simple docstring"""

		def __init__(			self   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							Tuple        =       files
							UpperCAmelCase		:							Optional[int]        =       set()
							UpperCAmelCase		:							List[str]        =       len(snake_case      )
							UpperCAmelCase		:							str        =       {i: None for i in range(self.num_buffers      )}







		def 				A_	(			self      ):


							'''simple docstring'''

							return {
							    i: self.buffers[i] for i in range(self.num_buffers      ) if i not in self.empty
							}







		def 				A_	(			self      ):


							'''simple docstring'''

							for i in range(self.num_buffers      ):
												if self.buffers[i] is None and i not in self.empty:
																	UpperCAmelCase		:							int        =       self.files[i].readline()

																	if self.buffers[i] == "":
																						self.empty.add(snake_case      )
																						self.files[i].close()

							if len(self.empty      ) == self.num_buffers:
												return False

							return True







		def 				A_	(			self   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							List[str]        =       self.buffers[index]
							UpperCAmelCase		:							Dict        =       None

							return value







class   UpperCamelCase__   :


		"""simple docstring"""

		def __init__(			self   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							List[str]        =       merge_strategy







		def 				A_	(			self   ,      snake_case   ,      snake_case   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							Optional[Any]        =       FilesArray(self.get_file_handles(snake_case   ,      snake_case      )      )
							with open(snake_case   ,      "w"   ,      snake_case      ) as outfile:
												while buffers.refresh():
																	UpperCAmelCase		:							List[str]        =       self.merge_strategy.select(buffers.get_dict()      )
																	outfile.write(buffers.unshift(snake_case      )      )







		def 				A_	(			self   ,      snake_case   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							Dict        =       {}

							for i in range(len(snake_case      )      ):
												UpperCAmelCase		:							str        =       open(filenames[i]   ,      "r"   ,      snake_case      )  # noqa: UP015

							return files







class   UpperCamelCase__   :


		"""simple docstring"""

		def __init__(			self   ,      snake_case      ):


							'''simple docstring'''

							UpperCAmelCase		:							int        =       block_size







		def 				A_	(			self   ,      snake_case   ,      snake_case=None      ):


							'''simple docstring'''

							UpperCAmelCase		:							str        =       self.get_number_blocks(snake_case   ,      self.block_size      )
							UpperCAmelCase		:							List[str]        =       FileSplitter(snake_case      )
							splitter.split(self.block_size   ,      snake_case      )

							UpperCAmelCase		:							str        =       FileMerger(NWayMerge()      )
							UpperCAmelCase		:							Any        =       self.block_size / (num_blocks + 1)
							merger.merge(splitter.get_block_filenames()   ,      filename + ".out"   ,      snake_case      )

							splitter.cleanup()







		def 				A_	(			self   ,      snake_case   ,      snake_case      ):


							'''simple docstring'''

							return (os.stat(snake_case      ).st_size / block_size) + 1





def 				lowercase (					__magic_name__							):



					'''simple docstring'''







					if string[-1].lower() == "k":
										return int(string[:-1]							) * 1024
					elif string[-1].lower() == "m":
										return int(string[:-1]							) * 1024 * 1024
					elif string[-1].lower() == "g":
										return int(string[:-1]							) * 1024 * 1024 * 1024
					else:
										return int(__magic_name__							)





def 				lowercase (					):



					'''simple docstring'''







					UpperCAmelCase		:							Optional[int]        =       argparse.ArgumentParser()
					parser.add_argument(
					    "-m"			,   "--mem"			,   help="amount of memory to use for sorting"			,   default="100M"							)
					parser.add_argument(
					    "filename"			,   metavar="<filename>"			,   nargs=1			,   help="name of file to sort"							)
					UpperCAmelCase		:							Dict        =       parser.parse_args()

					UpperCAmelCase		:							Union[str, Any]        =       ExternalSort(parse_memory(args.mem							)							)
					sorter.sort(args.filename[0]							)


if __name__ == "__main__":
				main()



'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a       :      List[Any]  	=			logging.get_logger(__name__)

a       :      Dict  	=			{
    "apple/mobilevitv2-1.0": "https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json",
}







class   UpperCamelCase__   (       lowercase__       ):


		"""simple docstring"""

		SCREAMING_SNAKE_CASE__  :     List[Any]       =							"mobilevitv2"







		def __init__(			self   ,      snake_case=3   ,      snake_case=2_5_6   ,      snake_case=2   ,      snake_case=2.0   ,      snake_case="swish"   ,      snake_case=3   ,      snake_case=3_2   ,      snake_case=0.1   ,      snake_case=0.02   ,      snake_case=1e-5   ,      snake_case=5_1_2   ,      snake_case=[6, 1_2, 1_8]   ,      snake_case=0.1   ,      snake_case=2_5_5   ,      snake_case=[2, 4, 3]   ,      snake_case=[1_2_8, 1_9_2, 2_5_6]   ,      snake_case=1.0   ,      snake_case=2   ,      snake_case=0.0   ,      snake_case=0.0   ,      **snake_case   ,      ):


							'''simple docstring'''

							super().__init__(**snake_case      )

							UpperCAmelCase		:							Tuple        =       num_channels
							UpperCAmelCase		:							Optional[int]        =       image_size
							UpperCAmelCase		:							Optional[int]        =       patch_size
							UpperCAmelCase		:							Optional[int]        =       expand_ratio
							UpperCAmelCase		:							List[Any]        =       hidden_act
							UpperCAmelCase		:							Optional[Any]        =       conv_kernel_size
							UpperCAmelCase		:							str        =       output_stride
							UpperCAmelCase		:							Optional[Any]        =       initializer_range
							UpperCAmelCase		:							Optional[Any]        =       layer_norm_eps
							UpperCAmelCase		:							List[str]        =       n_attn_blocks
							UpperCAmelCase		:							Any        =       base_attn_unit_dims
							UpperCAmelCase		:							str        =       width_multiplier
							UpperCAmelCase		:							Optional[int]        =       ffn_multiplier
							UpperCAmelCase		:							List[Any]        =       ffn_dropout
							UpperCAmelCase		:							List[str]        =       attn_dropout
							UpperCAmelCase		:							Optional[Any]        =       classifier_dropout_prob

							# decode head attributes for semantic segmentation
							UpperCAmelCase		:							Optional[Any]        =       aspp_out_channels
							UpperCAmelCase		:							Dict        =       atrous_rates
							UpperCAmelCase		:							int        =       aspp_dropout_prob
							UpperCAmelCase		:							List[str]        =       semantic_loss_ignore_index







class   UpperCamelCase__   (       lowercase__       ):


		"""simple docstring"""

		SCREAMING_SNAKE_CASE__  :     Optional[int]       =							version.parse("1.11"       )







		@property
		def 				A_	(			self      ):


							'''simple docstring'''

							return OrderedDict([("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"})]      )







		@property
		def 				A_	(			self      ):


							'''simple docstring'''

							if self.task == "image-classification":
												return OrderedDict([("logits", {0: "batch"})]      )
							else:
												return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]      )







		@property
		def 				A_	(			self      ):


							'''simple docstring'''

							return 1e-4
