




import colorsys
import io

import cva
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import numpy as np
import torch
from matplotlib.backends.backend_agg import FigureCanvasAgg

from utils import img_tensorize


lowercase_		=							1000





class 		A__				:






	def __init__(	self				,     lowerCamelCase				,     lowerCamelCase=1.2				,     lowerCamelCase="g"				,     lowerCamelCase=0.5				,     lowerCamelCase="-"				,     lowerCamelCase="test_out.jpg"				,     lowerCamelCase=True				,     lowerCamelCase=False				,     lowerCamelCase=None				,     lowerCamelCase=None				,     lowerCamelCase=0.7				,     )      ->   Optional[Any]:




						"""simple docstring"""






						if isinstance(lowerCamelCase				,     torch.Tensor						):
											__magic_name__					:							int		   =							img.numpy().astype('''np.uint8'''						)
						if isinstance(lowerCamelCase				,     lowerCamelCase						):
											__magic_name__					:							Dict		   =							img_tensorize(lowerCamelCase						)
						assert isinstance(lowerCamelCase				,     np.ndarray						)

						__magic_name__   , __magic_name__					:							Optional[Any]		   =							img.shape[1], img.shape[0]
						__magic_name__					:							Tuple		   =							mplfigure.Figure(frameon=lowerCamelCase						)
						__magic_name__					:							List[Any]		   =							fig.get_dpi()
						__magic_name__					:							str		   =							(width * scale + 1e-2) / dpi
						__magic_name__					:							List[str]		   =							(height * scale + 1e-2) / dpi
						fig.set_size_inches(lowerCamelCase				,     lowerCamelCase						)
						__magic_name__					:							List[str]		   =							fig.add_axes([0.0, 0.0, 1.0, 1.0]						)
						ax.axis('''off'''						)
						ax.set_xlim(0.0				,     lowerCamelCase						)
						ax.set_ylim(lowerCamelCase						)

						__magic_name__					:							str		   =							saveas
						__magic_name__					:							Any		   =							rgb
						__magic_name__					:							Tuple		   =							pynb
						__magic_name__					:							Tuple		   =							img
						__magic_name__					:							Any		   =							edgecolor
						__magic_name__					:							Any		   =							0.5
						__magic_name__					:							Union[str, Any]		   =							linestyle
						__magic_name__					:							Any		   =							int(np.sqrt(min(lowerCamelCase				,     lowerCamelCase						)						) * scale // 3						)
						__magic_name__					:							Any		   =							width
						__magic_name__					:							str		   =							height
						__magic_name__					:							str		   =							scale
						__magic_name__					:							Optional[int]		   =							fig
						__magic_name__					:							List[Any]		   =							ax
						__magic_name__					:							int		   =							pad
						__magic_name__					:							int		   =							idaobj
						__magic_name__					:							Optional[Any]		   =							idaattr
						__magic_name__					:							List[Any]		   =							FigureCanvasAgg(lowerCamelCase						)






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase=None						)      ->   Any:




						"""simple docstring"""






						if color is None:
											__magic_name__					:							Dict		   =							self.edgecolor
						((__magic_name__)   , (__magic_name__)   , (__magic_name__)   , (__magic_name__))					:							Optional[int]		   =							box
						__magic_name__					:							Union[str, Any]		   =							xa - xa
						__magic_name__					:							Optional[int]		   =							ya - ya
						self.ax.add_patch(
						    mpl.patches.Rectangle(
						        (xa, ya)				,     lowerCamelCase				,     lowerCamelCase				,     fill=lowerCamelCase				,     edgecolor=lowerCamelCase				,     linewidth=self.font_size // 3				,     alpha=self.alpha				,     linestyle=self.linestyle				,     )						)






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase=None				,     lowerCamelCase=None				,     lowerCamelCase=None				,     lowerCamelCase=None						)      ->   str:




						"""simple docstring"""






						if len(boxes.shape						) > 2:
											__magic_name__					:							int		   =							boxes[0]
						if len(obj_ids.shape						) > 1:
											__magic_name__					:							Tuple		   =							obj_ids[0]
						if len(obj_scores.shape						) > 1:
											__magic_name__					:							List[str]		   =							obj_scores[0]
						if len(attr_ids.shape						) > 1:
											__magic_name__					:							Tuple		   =							attr_ids[0]
						if len(attr_scores.shape						) > 1:
											__magic_name__					:							int		   =							attr_scores[0]
						if isinstance(lowerCamelCase				,     torch.Tensor						):
											__magic_name__					:							Optional[int]		   =							boxes.numpy()
						if isinstance(lowerCamelCase				,     lowerCamelCase						):
											__magic_name__					:							List[Any]		   =							np.array(lowerCamelCase						)
						assert isinstance(lowerCamelCase				,     np.ndarray						)
						__magic_name__					:							Dict		   =							np.prod(boxes[:, 2:] - boxes[:, :2]				,     axis=1						)
						__magic_name__					:							Union[str, Any]		   =							np.argsort(-areas						).tolist()
						__magic_name__					:							int		   =							boxes[sorted_idxs] if boxes is not None else None
						__magic_name__					:							List[str]		   =							obj_ids[sorted_idxs] if obj_ids is not None else None
						__magic_name__					:							Optional[int]		   =							obj_scores[sorted_idxs] if obj_scores is not None else None
						__magic_name__					:							Tuple		   =							attr_ids[sorted_idxs] if attr_ids is not None else None
						__magic_name__					:							Dict		   =							attr_scores[sorted_idxs] if attr_scores is not None else None

						__magic_name__					:							str		   =							[self._random_color(maximum=1						) for _ in range(len(lowerCamelCase						)						)]
						__magic_name__					:							Tuple		   =							[assigned_colors[idx] for idx in sorted_idxs]
						if obj_ids is not None:
											__magic_name__					:							Union[str, Any]		   =							self._create_text_labels_attr(lowerCamelCase				,     lowerCamelCase				,     lowerCamelCase				,     lowerCamelCase						)
											for i in range(len(lowerCamelCase						)						):
																__magic_name__					:							Union[str, Any]		   =							assigned_colors[i]
																self.add_box(boxes[i]				,     lowerCamelCase						)
																self.draw_labels(labels[i]				,     boxes[i]				,     lowerCamelCase						)






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase				,     lowerCamelCase						)      ->   int:




						"""simple docstring"""






						__magic_name__   , __magic_name__   , __magic_name__   , __magic_name__					:							Union[str, Any]		   =							box
						__magic_name__					:							Union[str, Any]		   =							(xa, ya)
						__magic_name__					:							int		   =							(ya - ya) * (xa - xa)
						__magic_name__					:							Tuple		   =							_SMALL_OBJ * self.scale
						if instance_area < small or ya - ya < 40 * self.scale:
											if ya >= self.height - 5:
																__magic_name__					:							Tuple		   =							(xa, ya)
											else:
																__magic_name__					:							List[Any]		   =							(xa, ya)

						__magic_name__					:							Optional[Any]		   =							(ya - ya) / np.sqrt(self.height * self.width						)
						__magic_name__					:							Optional[int]		   =							self._change_color_brightness(lowerCamelCase				,     brightness_factor=0.7						)
						__magic_name__					:							Union[str, Any]		   =							np.clip((height_ratio - 0.0_2) / 0.0_8 + 1				,     1.2				,     2						)
						font_size *= 0.7_5 * self.font_size

						self.draw_text(
						    text=lowerCamelCase				,     position=lowerCamelCase				,     color=lowerCamelCase				,     )






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase				,     lowerCamelCase="g"				,     lowerCamelCase="left"				,     )      ->   Tuple:




						"""simple docstring"""






						__magic_name__					:							Any		   =							0
						__magic_name__					:							List[Any]		   =							self.font_size
						__magic_name__					:							List[Any]		   =							np.maximum(list(mplc.to_rgb(lowerCamelCase						)						)				,     0.2						)
						__magic_name__					:							Optional[Any]		   =							max(0.8				,     np.max(lowerCamelCase						)						)
						__magic_name__					:							Tuple		   =							{
						    '''facecolor''': '''black''',
						    '''alpha''': self.alpha,
						    '''pad''': self.pad,
						    '''edgecolor''': '''none''',
						}
						__magic_name__   , __magic_name__					:							str		   =							position
						self.ax.text(
						    lowerCamelCase				,     lowerCamelCase				,     lowerCamelCase				,     size=font_size * self.scale				,     family='''sans-serif'''				,     bbox=lowerCamelCase				,     verticalalignment='''top'''				,     horizontalalignment=lowerCamelCase				,     color=lowerCamelCase				,     zorder=10				,     rotation=lowerCamelCase				,     )






	def  lowercase      (	self				,     lowerCamelCase=None						)      ->   Optional[Any]:




						"""simple docstring"""






						if saveas is None:
											__magic_name__					:							Dict		   =							self.saveas
						if saveas.lower().endswith('''.jpg'''						) or saveas.lower().endswith('''.png'''						):
											cva.imwrite(
											    lowerCamelCase				,     self._get_buffer()[:, :, ::-1]				,     )
						else:
											self.fig.savefig(lowerCamelCase						)






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




						"""simple docstring"""






						__magic_name__					:							Dict		   =							[self.idaobj[i] for i in classes]
						__magic_name__					:							int		   =							[self.idaattr[i] for i in attr_classes]
						__magic_name__					:							List[str]		   =							[
						    F'''{label} {score:.2f} {attr} {attr_score:.2f}'''
						    for label, score, attr, attr_score in zip(lowerCamelCase				,     lowerCamelCase				,     lowerCamelCase				,     lowerCamelCase						)
						]
						return labels






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase						)      ->   Any:




						"""simple docstring"""






						__magic_name__					:							Dict		   =							[self.idaobj[i] for i in classes]
						if scores is not None:
											if labels is None:
																__magic_name__					:							List[Any]		   =							['''{:.0f}%'''.format(s * 100						) for s in scores]
											else:
																__magic_name__					:							Union[str, Any]		   =							['''{} {:.0f}%'''.format(lowerCamelCase				,     s * 100						) for li, s in zip(lowerCamelCase				,     lowerCamelCase						)]
						return labels






	def  lowercase      (	self				,     lowerCamelCase=255						)      ->   Tuple:




						"""simple docstring"""






						__magic_name__					:							Optional[Any]		   =							np.random.randint(0				,     len(_COLORS						)						)
						__magic_name__					:							int		   =							_COLORS[idx] * maximum
						if not self.rgb:
											__magic_name__					:							Optional[Any]		   =							ret[::-1]
						return ret






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




						"""simple docstring"""






						if not self.pynb:
											__magic_name__   , __magic_name__					:							int		   =							self.canvas.print_to_buffer()
											if (width, height) != (self.width, self.height):
																__magic_name__					:							List[Any]		   =							cva.resize(self.img				,     (width, height)						)
											else:
																__magic_name__					:							Union[str, Any]		   =							self.img
						else:
											__magic_name__					:							List[Any]		   =							io.BytesIO()  # works for cairo backend
											self.canvas.print_rgba(lowerCamelCase						)
											__magic_name__   , __magic_name__					:							List[str]		   =							self.width, self.height
											__magic_name__					:							int		   =							buf.getvalue()
											__magic_name__					:							Any		   =							self.img

						__magic_name__					:							Dict		   =							np.frombuffer(lowerCamelCase				,     dtype='''uint8'''						)
						__magic_name__					:							int		   =							buffer.reshape(lowerCamelCase				,     lowerCamelCase				,     4						)
						__magic_name__   , __magic_name__					:							Union[str, Any]		   =							np.split(lowerCamelCase				,     [3]				,     axis=2						)

						try:
											import numexpr as ne  # fuse them with numexpr

											__magic_name__					:							Union[str, Any]		   =							ne.evaluate('''img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)'''						)
						except ImportError:
											__magic_name__					:							Optional[Any]		   =							alpha.astype('''float32'''						) / 2_5_5.0
											__magic_name__					:							Union[str, Any]		   =							img * (1 - alpha) + rgb * alpha

						return visualized_image.astype('''uint8'''						)






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase						)      ->   int:




						"""simple docstring"""






						assert brightness_factor >= -1.0 and brightness_factor <= 1.0
						__magic_name__					:							Union[str, Any]		   =							mplc.to_rgb(lowerCamelCase						)
						__magic_name__					:							Dict		   =							colorsys.rgb_to_hls(*mplc.to_rgb(lowerCamelCase						)						)
						__magic_name__					:							Optional[Any]		   =							polygon_color[1] + (brightness_factor * polygon_color[1])
						__magic_name__					:							str		   =							0.0 if modified_lightness < 0.0 else modified_lightness
						__magic_name__					:							List[str]		   =							1.0 if modified_lightness > 1.0 else modified_lightness
						__magic_name__					:							Tuple		   =							colorsys.hls_to_rgb(polygon_color[0]				,     lowerCamelCase				,     polygon_color[2]						)
						return modified_color

lowercase_		=							(
    np.array(
        [
            0.0_0_0,
            0.4_4_7,
            0.7_4_1,
            0.8_5_0,
            0.3_2_5,
            0.0_9_8,
            0.9_2_9,
            0.6_9_4,
            0.1_2_5,
            0.4_9_4,
            0.1_8_4,
            0.5_5_6,
            0.4_6_6,
            0.6_7_4,
            0.1_8_8,
            0.3_0_1,
            0.7_4_5,
            0.9_3_3,
            0.6_3_5,
            0.0_7_8,
            0.1_8_4,
            0.3_0_0,
            0.3_0_0,
            0.3_0_0,
            0.6_0_0,
            0.6_0_0,
            0.6_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.7_4_9,
            0.7_4_9,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.3_3_3,
            0.0_0_0,
            0.3_3_3,
            0.6_6_7,
            0.0_0_0,
            0.3_3_3,
            1.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.3_3_3,
            0.0_0_0,
            0.6_6_7,
            0.6_6_7,
            0.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.5_0_0,
            0.0_0_0,
            0.6_6_7,
            0.5_0_0,
            0.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.3_3_3,
            0.0_0_0,
            0.5_0_0,
            0.3_3_3,
            0.3_3_3,
            0.5_0_0,
            0.3_3_3,
            0.6_6_7,
            0.5_0_0,
            0.3_3_3,
            1.0_0_0,
            0.5_0_0,
            0.6_6_7,
            0.0_0_0,
            0.5_0_0,
            0.6_6_7,
            0.3_3_3,
            0.5_0_0,
            0.6_6_7,
            0.6_6_7,
            0.5_0_0,
            0.6_6_7,
            1.0_0_0,
            0.5_0_0,
            1.0_0_0,
            0.0_0_0,
            0.5_0_0,
            1.0_0_0,
            0.3_3_3,
            0.5_0_0,
            1.0_0_0,
            0.6_6_7,
            0.5_0_0,
            1.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.3_3_3,
            1.0_0_0,
            0.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.3_3_3,
            1.0_0_0,
            0.3_3_3,
            0.6_6_7,
            1.0_0_0,
            0.3_3_3,
            1.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.3_3_3,
            1.0_0_0,
            0.6_6_7,
            0.6_6_7,
            1.0_0_0,
            0.6_6_7,
            1.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.3_3_3,
            1.0_0_0,
            1.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_6_7,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_6_7,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_4_3,
            0.1_4_3,
            0.1_4_3,
            0.8_5_7,
            0.8_5_7,
            0.8_5_7,
            1.0_0_0,
            1.0_0_0,
            1.0_0_0,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)





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






class      snake_case__    :







		"""simple docstring"""

		lowerCamelCase							=		"""block_{0}.dat"""



		def __init__(	self							:       List[str]   ,     UpperCamelCase__							:       str	)		->       Union[str, Any]:






				"""simple docstring"""







				snake_case   :    Optional[int]			       =		filename
				snake_case   :    Any			       =		[]



		def 	lowerCAmelCase							(	self							:       Any   ,     UpperCamelCase__							:       int   ,     UpperCamelCase__							:       str	)		->       Dict:






				"""simple docstring"""







				snake_case   :    str			       =		self.BLOCK_FILENAME_FORMAT.format(UpperCamelCase__	)
				with open(UpperCamelCase__   ,     '''w'''	) as file:
						file.write(UpperCamelCase__	)
				self.block_filenames.append(UpperCamelCase__	)



		def 	lowerCAmelCase							(	self							:       Optional[Any]	)		->       Optional[int]:






				"""simple docstring"""







				return self.block_filenames



		def 	lowerCAmelCase							(	self							:       Optional[int]   ,     UpperCamelCase__							:       Union[str, Any]   ,     UpperCamelCase__							:       Optional[Any]=None	)		->       Dict:






				"""simple docstring"""







				snake_case   :    Optional[Any]			       =		0
				with open(self.filename	) as file:
						while True:
								snake_case   :    List[str]			       =		file.readlines(UpperCamelCase__	)

								if lines == []:
										break

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

								self.write_block(''''''.join(UpperCamelCase__	)   ,     UpperCamelCase__	)
								i += 1



		def 	lowerCAmelCase							(	self							:       Dict	)		->       Optional[Any]:






				"""simple docstring"""







				map(os.remove   ,     self.block_filenames	)







class      snake_case__    :







		"""simple docstring"""

		def 	lowerCAmelCase							(	self							:       str   ,     UpperCamelCase__							:       Optional[int]	)		->       Dict:






				"""simple docstring"""







				snake_case   :    str			       =		-1
				snake_case   :    Optional[Any]			       =		None

				for i in range(len(UpperCamelCase__	)	):
						if min_str is None or choices[i] < min_str:
								snake_case   :    Union[str, Any]			       =		i

				return min_index







class      snake_case__    :







		"""simple docstring"""

		def __init__(	self							:       str   ,     UpperCamelCase__							:       Tuple	)		->       Dict:






				"""simple docstring"""







				snake_case   :    Dict			       =		files
				snake_case   :    Optional[Any]			       =		set()
				snake_case   :    Tuple			       =		len(UpperCamelCase__	)
				snake_case   :    List[Any]			       =		{i: None for i in range(self.num_buffers	)}



		def 	lowerCAmelCase							(	self							:       Tuple	)		->       int:






				"""simple docstring"""







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



		def 	lowerCAmelCase							(	self							:       List[str]	)		->       int:






				"""simple docstring"""







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

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

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

				return True



		def 	lowerCAmelCase							(	self							:       Optional[Any]   ,     UpperCamelCase__							:       Any	)		->       str:






				"""simple docstring"""







				snake_case   :    List[Any]			       =		self.buffers[index]
				snake_case   :    Optional[int]			       =		None

				return value







class      snake_case__    :







		"""simple docstring"""

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






				"""simple docstring"""







				snake_case   :    Optional[int]			       =		merge_strategy



		def 	lowerCAmelCase							(	self							:       str   ,     UpperCamelCase__							:       Optional[int]   ,     UpperCamelCase__							:       int   ,     UpperCamelCase__							:       Dict	)		->       Tuple:






				"""simple docstring"""







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



		def 	lowerCAmelCase							(	self							:       List[str]   ,     UpperCamelCase__							:       Tuple   ,     UpperCamelCase__							:       str	)		->       int:






				"""simple docstring"""







				snake_case   :    str			       =		{}

				for i in range(len(UpperCamelCase__	)	):
						snake_case   :    Any			       =		open(filenames[i]   ,     '''r'''   ,     UpperCamelCase__	)  # noqa: UP015

				return files







class      snake_case__    :







		"""simple docstring"""

		def __init__(	self							:       Any   ,     UpperCamelCase__							:       Any	)		->       Optional[Any]:






				"""simple docstring"""







				snake_case   :    Optional[Any]			       =		block_size



		def 	lowerCAmelCase							(	self							:       Dict   ,     UpperCamelCase__							:       int   ,     UpperCamelCase__							:       Tuple=None	)		->       Optional[Any]:






				"""simple docstring"""







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

				snake_case   :    Optional[Any]			       =		FileMerger(NWayMerge()	)
				snake_case   :    Any			       =		self.block_size / (num_blocks + 1)
				merger.merge(splitter.get_block_filenames()   ,     filename + '''.out'''   ,     UpperCamelCase__	)

				splitter.cleanup()



		def 	lowerCAmelCase							(	self							:       Optional[Any]   ,     UpperCamelCase__							:       List[str]   ,     UpperCamelCase__							:       Dict	)		->       List[Any]:






				"""simple docstring"""







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







def 					_UpperCamelCase		(    SCREAMING_SNAKE_CASE__       )   ->				List[Any]:


		'''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(SCREAMING_SNAKE_CASE__       )




def 					_UpperCamelCase		(    )   ->				Optional[int]:


		'''simple docstring'''


		snake_case   :    Tuple			       =		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'''       )
		snake_case   :    Any			       =		parser.parse_args()

		snake_case   :    int			       =		ExternalSort(parse_memory(args.mem       )       )
		sorter.sort(args.filename[0]       )


if __name__ == "__main__":
						main()


